## 2021

## 2020

- - The Four Jobs of the Data Scientist
- - Palantir Shows Its Cards
- - Asymptotics of Reproducibility
- - Amplifying people I trust on COVID-19

## 2019

- - Is Artificial Intelligence Revolutionizing Environmental Health?
- - You can replicate almost any plot with R
- - So You Want to Start a Podcast
- - The data deluge means no reasonable expectation of privacy - now what?
- - More datasets for teaching data science: The expanded dslabs package
- - Research quality data and research quality databases
- - I co-founded a company! Meet Problem Forward Data Science
- - Generative and Analytical Models for Data Analysis
- - Tukey, Design Thinking, and Better Questions
- - Interview with Abhi Datta
- - 10 things R can do that might surprise you
- - Open letter to journal editors: dynamite plots must die
- - Interview with Stephanie Hicks
- - The Tentpoles of Data Science
- - How Data Scientists Think - A Mini Case Study

## 2018

- - The Netflix Data War
- - The Role of Theory in Data Analysis
- - The role of academia in data science education
- - Guest Post: Galin Jones on criteria for promotion and tenture in (bio)statistics departments
- - The economic consequences of MOOCs
- - Chromebook Data Science - a free online data science program for anyone with a web browser.
- - The complex process of obtaining Puerto Rico mortality data: a timeline
- - Divergent and Convergent Phases of Data Analysis
- - Being at the Center
- - Constructing a Data Analysis
- - The Law and Order of Data Science
- - The Trillion Dollar Question
- - Why I Indent My Code 8 Spaces
- - Partitioning the Variation in Data
- - Teaching R to New Users - From tapply to the Tidyverse
- - What Should be Done When Data Have Creators?
- - Cultural Differences in Map Data Visualization
- - Creativity in Data Analysis
- - The Role of Resources in Data Analysis
- - People vs. Institutions in Data Analysis
- - An ode to King James
- - Estimating mortality rates in Puerto Rico after hurricane María using newly released official death counts
- - Trustworthy Data Analysis
- - Context Compatibility in Data Analysis
- - Awesome postdoc opportunities in computational genomics at JHU
- - Rethinking Academic Data Sharing
- - Software as an academic publication
- - Relationships in Data Analysis
- - What can we learn from data analysis failures?
- - Process versus outcome productivity
- - What is a Successful Data Analysis?
- - Input on the Draft NIH Strategic Plan for Data Science
- - What do Fahrenheit, comma separated files, and markdown have in common?
- - Some datasets for teaching data science

## 2017

- - Thoughts on David Donoho’s "Fifty Years of Data Science"
- - A non-comprehensive list of awesome things other people did in 2017
- - Puerto Rico's governor wants recount of hurricane death toll
- - How Do Machines Learn?
- - Data Analysis and Engagement - Does Caring About the Analysis Matter?
- - This is a brave post and everyone in statistics should read it
- - Hurricane María official death count in conflict with mortality data
- - Some roadblocks to the broad adoption of machine learning and AI
- - A few things that would reduce stress around reproducibility/replicability in science
- - Follow Up on Reasoning About Data
- - Reasoning About Data
- - How do you convince other people to use R?
- - It Costs Money to Get It Right
- - Creating an expository graph for a talk
- - Recording Podcasts with a Remote Co-Host
- - Editing Podcasts with Logic Pro X
- - Specialization and Communication in Data Science
- - Moon Shots Cost More Than You Think
- - Deep Dive - Y. Ogata's Residual Analysis for Point Processes
- - Data Science on a Chromebook
- - Simple Queue Package for R
- - Code for my educational gifs
- - Announcing the tidypvals package
- - My unfunded HHMI teaching professors proposal
- - Optimizing for User Experience
- - My Podcast Podroll
- - The joy of no more violin plots
- - The Machines Learn But We Don't
- - Lowering the GWAS threshold would save millions of dollars
- - The future of education is plain text
- - papr - rate papers on biorxiv in a single swipe and help science!
- - Don't use deep learning your data isn't that big
- - Toward tidy analysis
- - The Past and Future of Data Analysis
- - Data on the Comey Effect
- - Will Machine Learning and AI Ever Solve the Last Mile?
- - Some default and debt restructuring data
- - Science really is non-partisan: facts and skepticism annoy everybody
- - Redirect
- - La matrícula, el costo del crédito y las huelgas en la UPR
- - The Importance of Interactive Data Analysis for Data-Driven Discovery
- - The levels of data science class
- - When do we need interpretability?
- - Model building with time series data
- - Reproducibility and replicability is a glossy science now so watch out for the hype
- - Learning about Machine Learning with an Earthquake Example
- - My Podcasting Setup
- - Data Scientists Clashing at Hedge Funds
- - Not So Standard Deviations Episode 32 - You Have to Reinvent the Wheel a Few Times
- - Reproducible Research Needs Some Limiting Principles
- - Turning data into numbers
- - New class - Data App Prototyping for Public Health and Beyond
- - User Experience and Value in Products
- - An example that isn't that artificial or intelligent
- - What is artificial intelligence? A three part definition
- - Got a data app idea? Apply to get it prototyped by the JHU DSL!
- - Interview with Al Sommer - Effort Report Episode 23
- - Not So Standard Deviations Episode 30 - Philately and Numismatology

## 2016

- - Some things I've found help reduce my stress around science
- - A non-comprehensive list of awesome things other people did in 2016
- - The four eras of data
- - Not So Standard Deviations Episode 28 - Writing is a lot Harder than Just Talking
- - What is going on with math education in the US?
- - Not So Standard Deviations Episode 27 - Special Guest Amelia McNamara
- - Help choose the Leek group color palette
- - Open letter to my lab: I am not "moving to Canada"
- - Not all forecasters got it wrong: Nate Silver does it again (again)
- - Data scientist on a chromebook take two
- - Not So Standard Deviations Episode 25 - How Exactly Do You Pronounce SQL?
- - Are Datasets the New Server Rooms?
- - Distributed Masochism as a Pedagogical Model
- - Not So Standard Deviations Episode 24 - 50 Minutes of Blathering
- - Should I make a chatbot or a better FAQ?
- - The Dangers of Weighting Up a Sample
- - papr - it's like tinder, but for academic preprints
- - Information and VC Investing
- - Not So Standard Deviations Episode 23 - Special Guest Walt Hickey
- - Statistical vitriol
- - The Mystery of Palantir Continues
- - Thinking like a statistician: this is not the election for progressives to vote third party
- - Facebook and left censoring
- - Not So Standard Deviations Episode 22 - Number 1 Side Project
- - Mastering Software Development in R
- - Interview With a Data Sucker
- - A Short Guide for Students Interested in a Statistics PhD Program
- - Not So Standard Deviations Episode 21 - This Might be the Future!
- - How to create a free distributed data collection "app" with R and Google Sheets
- - Interview with COPSS award winner Nicolai Meinshausen.
- - A Simple Explanation for the Replication Crisis in Science
- - A meta list of what to do at JSM 2016
- - The relativity of raw data
- - Not So Standard Deviations Episode 18 - Divide by n-1, or n-2, or Whatever
- - Tuesday update
- - Not So Standard Deviations Episode 18 - Back on Planet Earth
- - Tuesday Update
- - A Year at Stack Overflow
- - Ultimate AI battle - Apple vs. Google
- - Good list of good books
- - Not So Standard Deviations Episode 17 - Diurnal High Variance
- - Defining success - Four secrets of a successful data science experiment
- - Sometimes the biggest challenge is applying what we already know
- - Sometimes there's friction for a reason
- - Not So Standard Deviations Episode 16 - The Silicon Valley Episode
- -
- - What is software engineering for data science?
- - Disseminating reproducible research is fundamentally a language and communication problem
- - The Real Lesson for Data Science That is Demonstrated by Palantir's Struggles
- - A means not an end - building a social media presence as a junior scientist
- - Time Series Analysis in Biomedical Science - What You Really Need to Know
- - Not So Standard Deviations Episode 15 - Spinning Up Logistics
- - High school student builds interactive R class for the intimidated with the JHU DSL
- - An update on Georgia Tech's MOOC-based CS degree
- - Write papers like a modern scientist (use Overleaf or Google Docs + Paperpile)
- - As a data analyst the best data repositories are the ones with the least features
- - Junior scientists - you don't have to publish in open access journals to be an open scientist.
- - A Natural Curiosity of How Things Work, Even If You're Not Responsible For Them
- - Not So Standard Deviations Episode 13 - It's Good that Someone is Thinking About Us
- - Companies are Countries, Academia is Europe
- - New Feather Format for Data Frames
- - How to create an AI startup - convince some humans to be your training set
- - Not So Standard Deviations Episode 12 - The New Bayesian vs. Frequentist
- - The future of biostatistics
- - The Evolution of a Data Scientist
- - Not So Standard Deviations Episode 11 - Start and Stop
- - Not So Standard Deviations Episode 10 - It's All Counterexamples
- - Preprints are great, but post publication peer review isn't ready for prime time
- - Spreadsheets: The Original Analytics Dashboard
- - Non-tidy data
- - When it comes to science - its the economy stupid.
- - Not So Standard Deviations Episode 9 - Spreadsheet Drama
- - Why I don't use ggplot2
- - Data handcuffs
- - Leek group guide to reading scientific papers
- - A menagerie of messed up data analyses and how to avoid them
- - Exactly how risky is breathing?
- - On research parasites and internet mobs - let's try to solve the real problem.
- - Not So Standard Deviations Episode 8 - Snow Day
- - Parallel BLAS in R
- - Profile of Hilary Parker
- - Not So Standard Deviations Episode 7 - Statistical Royalty
- - Jeff, Roger and Brian Caffo are doing a Reddit AMA at 3pm EST Today

## 2015

- - A non-comprehensive list of awesome things other people did in 2015
- - Not So Standard Deviations: Episode 6 - Google is the New Fisher
- - Instead of research on reproducibility, just do reproducible research
- - By opposing tracking well-meaning educators are hurting disadvantaged kids
- - Not So Standard Deviations: Episode 5 - IRL Roger is Totally With It
- - Thinking like a statistician: the importance of investigator-initiated grants
- - A thanksgiving dplyr Rubik's cube puzzle for you
- - 20 years of Data Science: from Music to Genomics
- - Some Links Related to Randomized Controlled Trials for Policymaking
- - Given the history of medicine, why are randomized trials not used for social policy?
- - So you are getting crushed on the internet? The new normal for academics.
- - Prediction Markets for Science: What Problem Do They Solve?
- - Biostatistics: It's not what you think it is
- - Not So Standard Deviations: Episode 4 - A Gajillion Time Series
- - How I decide when to trust an R package
- - The Statistics Identity Crisis: Am I a Data Scientist
- - Faculty/postdoc job opportunities in genomics across Johns Hopkins
- - The statistics identity crisis: am I really a data scientist?
- - Discussion of the Theranos Controversy with Elizabeth Matsui
- - Not So Standard Deviations: Episode 3 - Gilmore Girls
- - We need a statistically rigorous and scientifically meaningful definition of replication
- - Theranos runs head first into the realities of diagnostic testing
- - Minimal R Package Check List
- - Profile of Data Scientist Shannon Cebron
- - Not So Standard Deviations: Episode 2 - We Got it Under 40 Minutes
- - A glass half full interpretation of the replicability of psychological science
- - Apple Music's Moment of Truth
- - We Used Data to Improve our HarvardX Courses: New Versions Start Oct 15
- - Data Analysis for the Life Sciences - a book completely written in R markdown
- - The Leek group guide to writing your first paper
- - Not So Standard Deviations: The Podcast
- - Interview with COPSS award Winner John Storey
- - The Next National Library of Medicine Director Can Help Define the Future of Data Science
- - Interview with Sherri Rose and Laura Hatfield
- - If you ask different questions you get different answers - one more way science isn't broken it is just really hard
- - P > 0.05? I can make any p-value statistically significant with adaptive FDR procedures
- - UCLA Statistics 2015 Commencement Address
- - Correlation is not a measure of reproducibility
- - rafalib package now on CRAN
- - Interested in analyzing images of brains? Get started with open access data.
- - Statistical Theory is our "Write Once, Run Anywhere"
- - Autonomous killing machines won't look like the Terminator...and that is why they are so scary
- - Announcing the JHU Data Science Hackathon 2015
- - stringsAsFactors: An unauthorized biography
- - The statistics department Moneyball opportunity
- - The Mozilla Fellowship for Science
- - JHU, UMD researchers are getting a really big Big Data center
- - The Massive Future of Statistics Education
- - Looks like this R thing might be for real
- - How Airbnb built a data science team
- - How public relations and the media are distorting science
- - Interview at Leanpub
- - Johns Hopkins Data Science Specialization Captsone 2 Top Performers
- - Batch effects are everywhere! Deflategate edition
- - I'm a data scientist - mind if I do surgery on your heart?
- - Interview with Class Central
- - Interview with Chris Wiggins, chief data scientist at the New York Times
- - Science is a calling and a career, here is a career planning guide for students and postdocs
- - Is it species or is it batch? They are confounded, so we can't know
- - Residual expertise - or why scientists are amateurs at most of science
- - The tyranny of the idea in science
- - Mendelian randomization inspires a randomized trial design for multiple drugs simultaneously
- - Rafa's citations above replacement in statistics journals is crazy high.
- - Figuring Out Learning Objectives the Hard Way
- - Data analysis subcultures
- - Why is there so much university administration? We kind of asked for it.
- - Genomics Case Studies Online Courses Start in Two Weeks (4/27)
- - A blessing of dimensionality often observed in high-dimensional data sets
- - How to Get Ahead in Academia
- - Why You Need to Study Statistics
- - Teaser trailer for the Genomic Data Science Specialization on Coursera
- - Introduction to Bioconductor HarvardX MOOC starts this Monday March 30
- - A surprisingly tricky issue when using genomic signatures for personalized medicine
- - A simple (and fair) way all statistics journals could drive up their impact factor.
- - Data science done well looks easy - and that is a big problem for data scientists
- - π day special: How to use Bioconductor to find empirical evidence in support of π being a normal number
- - De-weaponizing reproducibility
- - The elements of data analytic style - so much for a soft launch
- - Advanced Statistics for the Life Sciences MOOC Launches Today
- - Navigating Big Data Careers with a Statistics PhD
- - Introduction to Linear Models and Matrix Algebra MOOC starts this Monday Feb 16
- - Is Reproducibility as Effective as Disclosure? Let's Hope Not.
- - The trouble with evaluating anything
- - Johns Hopkins Data Science Specialization Top Performers
- - Early data on knowledge units - atoms of statistical education
- - Knowledge units - the atoms of statistical education
- - Precision medicine may never be very precise - but it may be good for public health
- - Reproducible Research Course Companion
- - Data as an antidote to aggressive overconfidence
- - Gorging ourselves on "free" health care: Harvard's dilemma
- - If you were going to write a paper about the false discovery rate you should have done it in 2002
- - How to find the science paper behind a headline when the link is missing
- - Statistics and R for the Life Sciences: New HarvardX course starts January 19
- - Beast mode parenting as shown by my Fitbit data
- - Sunday data/statistics link roundup (1/4/15)

## 2014

- - Ugh ... so close to one million page views for 2014
- - On how meetings and conference calls are disruptive to a data scientist
- - Sunday data/statistics link roundup (12/21/14)
- - Interview with Emily Oster
- - Repost: Statistical illiteracy may lead to parents panicking about Autism
- - A non-comprehensive list of awesome things other people did in 2014
- - Sunday data/statistics link roundup (12/14/14)
- - Kobe, data says stop blaming your teammates
- - Genéticamente, no hay tal cosa como la raza puertorriqueña
- - Sunday data/statistics link roundup (12/7/14)
- - Interview with Cole Trapnell of UW Genome Sciences
- - Repost: A deterministic statistical machine
- - Thinking Like a Statistician: Social Media and the ‘Spiral of Silence’
- - HarvardX Biomedical Data Science Open Online Training Curriculum launches on January 19
- - Data Science Students Predict the Midterm Election Results
- - Sunday data/statistics link roundup (11/9/14)
- - Time varying causality in n=1 experiments with applications to newborn care
- - 538 election forecasts made simple
- - Sunday data/statistics link roundup (11/2/14)
- - Why I support statisticians and their resistance to hype
- - Return of the sunday links! (10/26/14)
- - An interactive visualization to teach about the curse of dimensionality
- - Vote on simply statistics new logo design
- - Thinking like a statistician: don't judge a society by its internet comments
- - Bayes Rule in an animated gif
- - Creating the field of evidence based data analysis - do people know what a p-value looks like?
- - Dear Laboratory Scientists: Welcome to My World
- - I declare the Bayesian vs. Frequentist debate over for data scientists
- - Data science can't be point and click
- - The Leek group guide to genomics papers
- - An economic model for peer review
- - The Drake index for academics
- - You think P-values are bad? I say show me the data.
- - Unbundling the educational package
- - Applied Statisticians: people want to learn what we do. Let's teach them.
- - A non-comprehensive list of awesome female data people on Twitter
- - Why the three biggest positive contributions to reproducible research are the iPython Notebook, knitr, and Galaxy
- - A (very) brief review of published human subjects research conducted with social media companies
- - SwiftKey and Johns Hopkins partner for Data Science Specialization Capstone
- - Interview with COPSS Award winner Martin Wainwright
- - Crowdsourcing resources for the Johns Hopkins Data Science Specialization
- - swirl and the little data scientist's predicament
- - The Leek group guide to giving talks
- - Stop saying "Scientists discover..." instead say, "Prof. Doe's team discovers..."
- - It's like Tinder, but for peer review.
- - If you like A/B testing here are some other Biostatistics ideas you may like
- - Do we need institutional review boards for human subjects research conducted by big web companies?
- - Introducing people to R: 14 years and counting
- - Academic statisticians: there is no shame in developing statistical solutions that solve just one problem
- - Jan de Leeuw owns the Internet
- - Piketty in R markdown - we need some help from the crowd
- - Privacy as a function of sample size
- - New book on implementing reproducible research
- - The difference between data hype and data hope
- - Heads up if you are going to submit to the Journal of the National Cancer Institute
- - The future of academic publishing is here, it just isn't evenly distributed
- - What I do when I get a new data set as told through tweets
- - The Real Reason Reproducible Research is Important
- - Post-Piketty Lessons
- - The Big in Big Data relates to importance not size
- - 10 things statistics taught us about big data analysis
- - Why big data is in trouble: they forgot about applied statistics
- - JHU Data Science: More is More
- - Confession: I sometimes enjoy reading the fake journal/conference spam
- - Picking a (bio)statistics thesis topic for real world impact and transferable skills
- - Correlation does not imply causation (parental involvement edition)
- - The #rOpenSci hackathon #ropenhack
- - Writing good software can have more impact than publishing in high impact journals for genomic statisticians
- - This is how an important scientific debate is being used to stop EPA regulation
- - Data Analysis for Genomics edX Course
- - A non-comprehensive comparison of prominent data science programs on cost and frequency.
- - The fact that data analysts base their conclusions on data does not mean they ignore experts
- - The 80/20 rule of statistical methods development
- - The time traveler's challenge.
- - ENAR is in Baltimore - Here's What To Do
- - How to use Bioconductor to find empirical evidence in support of π being a normal number
- - Oh no, the Leekasso....
- - Per capita GDP versus years since women received right to vote
- - PLoS One, I have an idea for what to do with all your profits: buy hard drives
- - Data Science is Hard, But So is Talking
- - Here's why the scientific publishing system can never be "fixed"
- - Why do we love R so much?
- - k-means clustering in a GIF
- - Repost: Ronald Fisher is one of the few scientists with a legit claim to most influential scientist ever
- - On the scalability of statistical procedures: why the p-value bashers just don't get it.
- - loess explained in a GIF
- - Monday data/statistics link roundup (2/10/14)
- - Just a thought on peer reviewing - I can't help myself.
- - My Online Course Development Workflow
- - The three tables for genomics collaborations
- - Not teaching computing and statistics in our public schools will make upward mobility even harder
- - Announcing the Release of swirl 2.0
- - Marie Curie says stop hating on quilt plots already.
- - The Johns Hopkins Data Science Specialization on Coursera
- - Sunday data/statistics link roundup (1/19/2014)
- - Missing not at random data makes some Facebook users feel sad
- - edge.org asks famous scientists what scientific concept to throw out & they say statistics
- - Sunday data/statistics link roundup (1/12/2014)
- - The top 10 predictor takes on the debiased Lasso - still the champ!
- - Preparing for tenure track job interviews
- - Sunday data/statistics link roundup (1/5/14)
- - Repost: Prediction: the Lasso vs. just using the top 10 predictors
- - The Supreme Court takes on Pollution Source Apportionment...and Realizes It's Hard

## 2013

- - Some things R can do you might not be aware of
- - A non-comprehensive list of awesome things other people did this year.
- - A summary of the evidence that most published research is false
- - Sunday data/statistics link roundup (12/15/13)
- - Simply Statistics Interview with Michael Eisen, Co-Founder of the Public Library of Science (Part 2/2)
- - The key word in "Data Science" is not Data, it is Science
- - Simply Statistics Interview with Michael Eisen, Co-Founder of the Public Library of Science (Part 1/2)
- - Are MOOC's fundamentally flawed? Or is it a problem with statistical literacy?
- - NYC crime rates by year/commissioner
- - Advice for students on the academic job market
- - On the future of the textbook
- - Academics should not feel guilty for maximizing their potential by leaving their homeland
- - Sunday data/statistics link roundup (12/2/13)
- - Statistical zealots
- - Simply Statistics interview with Daphne Koller, Co-Founder of Coursera
- - You must be at least 20 years old for this job
- - Future of Statistics take home messages. #futureofstats
- - Feeling optimistic after the Future of the Statistical Sciences Workshop
- - What should statistics do about massive open online courses?
- - What's the future of inference?
- - The Leek group guide to sharing data with a data analyst to speed collaboration
- - Original source code for Apple II DOS
- - Survival analysis for hard drives
- - Future of Statistical Sciences Workshop is happening right now #FSSW2013
- - Apple's Touch ID and a worldwide lesson in sensitivity and specificity
- - Out with Big Data, in with Hyperdata
- - How to Host a Conference on Google Hangouts on Air
- - Sunday data/statistics link roundup (11/3/13)
- - Unconference on the Future of Statistics (Live Stream) #futureofstats
- - How to participate in #futureofstats Unconference
- - Tukey Talks Turkey #futureofstats
- - Simply Statistics Future of Statistics Speakers - Two Truths, One Lie #futureofstats
- - Sunday data/statistics link roundup (10/27/13)
- - (Back to) The Future of Statistical Software #futureofstats
- - The Leek group guide to reviewing scientific papers
- - Blog posts that impact real science - software review and GTEX
- - PubMed commons is launching
- - Why are the best relievers not used when they are most needed?
- - Platforms and Integration in Statistical Research (Part 2/2)
- - The @fivethirtyeight effect - watching @walthickey gain Twitter followers in real time
- - Platforms and Integration in Statistical Research (Part 1/2)
- - Teaching least squares to a 5th grader by calibrating a programmable robot
- - A general audience friendly explanation for why Lars Peter Hansen won the Nobel Prize
- - Sunday data/statistics link roundup (10/13/13)
- - Why do we still teach a semester of trigonometry? How about engineering instead?
- - Cancelled NIH study sections: a subtle, yet disastrous, effect of the government shutdown
- - The Care and Feeding of Your Scientist Collaborator
- - The Care and Feeding of the Biostatistician
- - The Leek group policy for developing sustainable R packages
- - Sunday data/statistics link roundup (10/6/2013)
- - Repost: Finding good collaborators
- - Statistical Ode to Mariano Rivera
- - Sunday data/statistics link roundup (9/29/13)
- - Announcing Statistics with Interactive R Learning Software Environment
- - How could code review discourage code disclosure? Reviewers with motivation.
- - Is most science false? The titans weigh in.
- - How I view an academic talk: like a sports game
- - The limiting reagent for big data is often small, well-curated data
- - Announcing the Simply Statistics Unconference on the Future of Statistics #futureofstats
- - Data Analysis in the top 9 courses in lifetime enrollment at Coursera!
- - So you're moving to Baltimore
- - Help needed for establishing an ASA statistical genetics and genomics section
- - Implementing Evidence-based Data Analysis: Treading a New Path for Reproducible Research (Part 3)
- - Repost: A proposal for a really fast statistics journal
- - Sunday data/statistics link roundup (9/1/13)
- - AAAS S&T Fellows for Big Data and Analytics
- - The return of the stat - Computing for Data Analysis & Data Analysis back on Coursera!
- - Evidence-based Data Analysis: Treading a New Path for Reproducible Research (Part 2)
- - Interview with Ani Eloyan and Betsy Ogburn
- - Statistics meme: Sad p-value bear
- - Did Faulty Software Shut Down the NASDAQ?
- - Stratifying PISA scores by poverty rates suggests imitating Finland is not necessarily the way to go for US schools
- - If you are near DC/Baltimore, come see Jeff talk about Coursera
- - Chris Lane, U.S. tourism boycotts, and large relative risks on small probabilities
- - Treading a New Path for Reproducible Research: Part 1
- - A couple of requests for the @Statistics2013 future of statistics workshop
- - WANTED: Neuro-quants
- - Embarrassing typos reveal the dangers of the lonely data analyst
- - Data scientist is just a sexed up word for statistician
- - Simply Statistics #JSM2013 Picks for Wednesday
- - Simply Statistics #JSM2013 Picks for Tuesday
- - Simply Statistics #JSM2013 Picks for Monday
- - Sunday data/statistics link roundup (8/4/13)
- - That causal inference came out of nowhere
- - The ROC curves of science
- - The researcher degrees of freedom - recipe tradeoff in data analysis
- - Sunday data/statistics link roundup (7/28/13)
- - Statistics takes center stage in the Independent
- - What are the 5 most influential statistics papers of 2000-2010?
- - Sunday data/statistics link roundup (7/21/2013)
- - The "failure" of MOOCs and the ecological fallacy
- - Defending clinical trials
- - Name 5 statisticians, now name 5 young statisticians
- - Yes, Clinical Trials Work
- - Sunday data/statistics link roundup (7/14/2013)
- - What are the iconic data graphs of the past 10 years?
- - Repost: Preventing Errors Through Reproducibility
- - Use R! 2014 to be at UCLA
- - Fourth of July data/statistics link roundup (7/4/2013)
- - Repost: The 5 Most Critical Statistical Concepts
- - Measuring the importance of data privacy: embarrassment and cost
- - What is the Best Way to Analyze Data?
- - Art from Data
- - Doing Statistical Research
- - Does fraud depend on my philosophy?
- - Sunday data/statistics link roundup (6/23/13)
- - Interview with Miriah Meyer - Microsoft Faculty Fellow and Visualization Expert
- - Google's brainteasers (that don't work) and Johns Hopkins Biostatistics Data Analysis
- - Sunday data/statistics link roundup (6/16/13 - Father's day edition!)
- - The vast majority of statistical analysis is not performed by statisticians
- - False discovery rate regression (cc NSA's PRISM)
- - Personalized medicine is primarily a population-health intervention
- - Why not have a "future of the field" session at a conference with only young speakers?
- - Sunday data/statistics link roundup (6/2/13)
- - What statistics should do about big data: problem forward not solution backward
- - Sunday data/statistics link roundup (5/19/2013)
- - When does replication reveal fraud?
- - The bright future of applied statistics
- - Sunday data/statistics link roundup (5/12/2013, Mother's Day!)
- - A Shiny web app to find out how much medical procedures cost in your state.
- - Why the current over-pessimism about science is the perfect confirmation bias vehicle and we should proceed rationally
- - Talking about MOOCs on MPT Direct Connection
- - Reproducibility at Nature
- - Reproducibility and reciprocity
- - Sunday data/statistics link roundup (4/28/2013)
- - Mindlessly normalizing genomics data is bad - but ignoring unwanted variability can be worse
- - Interview at Yale Center for Environmental Law & Policy
- - Nevins-Potti, Reinhart-Rogoff
- - Podcast #7: Reinhart, Rogoff, Reproducibility
- - I wish economists made better plots
- - Data science only poses a threat to (bio)statistics if we don't adapt
- - Sunday data/statistics link roundup (4/14/2013)
- - Great scientist - statistics = lots of failed experiments
- - Climate Science Day on Capitol Hill
- - NIH is looking for an Associate Director for Data Science: Statisticians should consider applying
- - Introducing the healthvis R package - one line D3 graphics with R
- - An instructor's thoughts on peer-review for data analysis in Coursera
- - Podcast #6: Data Analysis MOOC Post-mortem
- - Sunday data/statistics link roundup (3/24/2013)
- - Youtube should check its checksums
- - Call for papers for a special issue of Statistical Analysis and Data Mining
- - Sunday data/statistics link roundup (3/17/13)
- - Postdoctoral fellow position in reproducible research
- - Here's my #ENAR2013 Wednesday schedule
- - If I were at #ENAR2013 today, here's where I'd go
- - Sunday data/statistics link roundup (3/10/13)
- - Send me student/postdoc blogs in statistics and computational biology
- - The importance of simulating the extremes
- - Big Data - Context = Bad
- - Sunday data/statistics link roundup (3/3/2013)
- - Please save the unsolicited R01s
- - Big data: Giving people what they want
- - Sunday data/statistics link roundup (2/24/2013)
- - Tesla vs. NYT: Do the Data Really Tell All?
- - Sunday data/statistics link roundup (2/17/2013)
- - Interview with Nick Chamandy, statistician at Google
- - I'm a young scientist and sequestration will hurt me
- - Sunday data/statistics link roundup (2/10/2013)
- - Issues with reproducibility at scale on Coursera
- - Sunday data/statistics link roundup (2/3/2013)
- - paste0 is statistical computing's most influential contribution of the 21st century
- - Data supports claim that if Kobe stops ball hogging the Lakers will win more
- - Sunday data/statistics link roundup (1/27/2013)
- - My advanced methods class is now being live-tweeted
- - Why I disagree with Andrew Gelman's critique of my paper about the rate of false discoveries in the medical literature
- - Statisticians and computer scientists - if there is no code, there is no paper
- - Sunday data/statistics link roundup (1/20/2013)
- - Comparing online and in-class outcomes
- - Review of R Graphics Cookbook by Winston Chang
- - R package meme
- - Welcome to the Smog-ocalypse
- - Sunday data/statistics link roundup (1/13/2013)
- - NSF should understand that Statistics is not Mathematics
- - The landscape of data analysis
- - By introducing competition open online education will improve teaching at top universities
- - Sunday data/statistics link roundup (1/6/2013)
- - Does NIH fund innovative work? Does Nature care about publishing accurate articles?
- - The scientific reasons it is not helpful to study the Newtown shooter's DNA
- - Fitbit, why can't I have my data?
- - Happy 2013: The International Year of Statistics

## 2012

- - What makes a good data scientist?
- - Sunday data/statistics link roundup (12/30/12)
- - Make a Christmas Tree in R with random ornaments/presents
- - Sunday data/statistics link roundup 12/23/12
- - The NIH peer review system is still the best at identifying innovative biomedical investigators
- - Rafa interviewed about statistical genomics
- - The value of re-analysis
- - Should the Cox Proportional Hazards model get the Nobel Prize in Medicine?
- - Sunday data/statistics link roundup (12/16/12)
- - Computing for Data Analysis Returns
- - Joe Blitzstein's free online stat course helps put a critical satellite in orbit
- - Sunday data/statistics link roundup (12/9/12)
- - Dropping the Stick in Data Analysis
- - Email is a to-do list made by other people - can someone make it more efficient?!
- - Advice for students on the academic job market (2013 edition)
- - Data analysis acquisition "worst deal ever"?
- - Sunday data/statistics link roundup (12/2/12)
- - Statistical illiteracy may lead to parents panicking about Autism.
- - I give up, I am embracing pie charts
- - The statisticians at Fox News use classic and novel graphical techniques to lead with data
- - Sunday data/statistics link roundup (11/25/2012)
- - Computer scientists discover statistics and find it useful
- - Developing the New York Times Visual Election Outcome Explorer
- - A grand experiment in science funding
- - Podcast #5: Coursera Debrief
- - Welcome to Simply Statistics 2.0
- - Sunday Data/Statistics Link Roundup (11/18/12)
- - Logo Contest Winner
- - Reproducible Research: With Us or Against Us?
- - Interview with Tom Louis - New Chief Scientist at the Census Bureau
- - Some academic thoughts on the poll aggregators
- - Nate Silver does it again! Will pundits finally accept defeat?
- - If we truly want to foster collaboration, we need to rethink the "independence" criteria during promotion
- - Sunday Data/Statistics Link Roundup (11/4/12)
- - Elite education for the masses
- - The Year of the MOOC
- - Microsoft Seeks an Edge in Analyzing Big Data
- - On weather forecasts, Nate Silver, and the politicization of statistical illiteracy
- - Computing for Data Analysis (Simply Statistics Edition)
- - Sunday Data/Statistics Link Roundup (10/28/12)
- - I love those first discussions about a new research project
- - Let's make the Joint Statistical Mettings modular
- - A statistical project bleg (urgent-ish)
- - Sunday Data/Statistics Link Roundup (10/21/12)
- - Minnesota clarifies: Free online ed is OK
- - Free Online Education Is Now Illegal in Minnesota
- - Simply Statistics Podcast #4: Interview with Rebecca Nugent
- - Statistics isn't math but statistics can produce math
- - Comparing Hospitals
- -
- - A statistician loves the #insurancepoll...now how do we analyze it?
- - Sunday Data/Statistics Link Roundup (10/14/12)
- - What's wrong with the predicting h-index paper.
- - Why we should continue publishing peer-reviewed papers
- - Sunday Data/Statistics Link Roundup (10/7/12)
- - Fraud in the Scientific Literature
- - Not just one statistics interview...John McGready is the Jon Stewart of statistics
- - Statistics project ideas for students (part 2)
- - Should we stop publishing peer-reviewed papers?
- - This is an awesome paper all students in statistics should read
- - 2-D author lists
- - The more statistics blogs the better
- - John McGready interviews Jeff Leek
- - John McGready interviews Roger Peng
- - Simply statistics logo contest
- - Pro-tips for graduate students (Part 3)
- - NBC Unpacks Trove of Data From Olympics
- - Computing for Data Analysis starts today!
- - Sunday Data/Statistics Link Roundup (9/23/12)
- - Prediction contest
- - In data science - it's the problem, stupid!
- - Every professor is a startup
- - Online Mentors to Guide Women Into the Sciences
- - Chinese Company to Acquire DNA Sequencing Firm
- - Sunday Data/Statistics Link Roundup (9/16/12)
- - Statistical analysis suggests the Washington Nationals were wrong to shut down Stephen Strasburg
- - The statistical method made me lie
- -
- - An experimental foundation for statistics
- - Coursera introduces three courses in statistics
- - The pebbles of academia
- - Sunday Data/Statistics Link Roundup (9/9/12)
- - Big Data in Your Blood
- - The Weatherman Is Not a Moron
- - Top-down versus bottom-up science: data analysis edition
- - Simply Statistics Podcast #3: Interview with Steven Salzberg
- - Simply Statistics Podcast #2
- - How long should the next podcast be?
- - Online universities blossom in Asia
- - Sunday Data/Statistics Link Roundup (9/2/2012)
- - Drought Extends, Crops Wither
- - Most Americans Confused By Cloud Computing According to National Survey
- - Court Blocks E.P.A. Rule on Cross-State Pollution
- - Court Upholds Rule on Nitrogen Dioxide Emissions
- - Green: Will Emissions Disclosure Mean Investor Pressure on Polluters?
- - I.B.M. Mainframe Evolves to Serve the Digital World
- - Increasing the cost of data analysis
- - Genes Now Tell Doctors Secrets They Can’t Utter
- - Active in Cloud, Amazon Reshapes Computing
- - A deterministic statistical machine
- - Sunday data/statistics link roundup (8/26/12)
- - Judge Rules Poker Is A Game Of Skill, Not Luck
- - Simply Statistics Podcast #1
- - Science Exchange starts Reproducibility Initiative
- - Data Startups from Y Combinator Demo Day
- - Harvard chooses statistician to lead Graduate School of Arts and Sciences
- - NSF recognizes math and statistics are not the same thing...kind of
- - Recommended updates from Google Scholar
- - Interview with C. Titus Brown - Computational biologist and open access champion
- - Statistics/statisticians need better marketing
- - Johns Hopkins University Professor Louis Named to Lead Census Bureau Research Directorate
- - Big-Data Investing Gets Its Own Supergroup
- - Sunday data/statistics link roundup (8/12/12)
- - How Big Data Became So Big
- - When dealing with poop, it's best to just get your hands dirty
- - Why we are teaching massive open online courses (MOOCs) in R/statistics for Coursera
- - A non-exhaustive list of things I have failed to accomplish
- - On the relative importance of mathematical abstraction in graduate statistical education
- - My worst nightmare...
- - In which Brian debates abstraction with T-Bone
- - Samuel Kou wins COPSS Award
- - NYC and Columbia to Create Institute for Data Sciences & Engineering
- - If I were at #JSM2012 today, here's where I'd go.
- - Why I'm Staying in Academia
- - Statistician (@cocteau) to show journalists how it's done
- - In Sliding Internet Stocks, Some Hear Echo of 2000
- - Tweet up #JSM2012
- - Predictive analytics might not have predicted the Aurora shooter
- - When Picking a C.E.O. Is More Random Than Wise
- - Congress to Examine Data Sellers
- - How important is abstract thinking for graduate students in statistics?
- - Smartphones, Big Data Help Fix Boston's Potholes
- - Online education: many academics are missing the point
- - Voters Say They Are Wary of Ads Made Just for Them
- - Buy your own analytics startup for $15,000 (at least as of now)
- - Really Big Objects Coming to R
- - A Contest for Sequencing Genomes Has Its First Entry in Ion Torrent
- - Proof by example and letters of recommendation
- - I.B.M. Is No Longer a Tech Bellwether (It's too busy doing statistics)
- - Facebook's Real Big Data Problem
- - Medalball: Moneyball for the olympics
- - We used, you know, that statistics thingy
- - Sunday Data/Statistics Link Roundup (7/22/12)
- - Big Data on Campus
- - Risks in Big Data Attract Big Law Firms
- - Interview with Lauren Talbot - Quantitative analyst for the NYC Financial Crime Task Force
- - Help me find the good JSM talks
- - Big data is worth nothing without big science
- - Top Universities Test the Online Appeal of Free
- - A closer look at data suggests Johns Hopkins is still the #1 US hospital
- - Johns Hopkins Coursera Statistics Courses
- - Universities Reshaping Education on the Web
- - Free Statistics Courses on Coursera
- - Sunday Data/Statistics Link Roundup (7/15/12)
- - Bits: Betaworks Buys What's Left of Social News Site Digg
- - Bits: Mobile App Developers Scoop Up Vast Amounts of Data, Reports Say
- - GDP Figures in China are for "reference" only
- -
- - What is the most important code you write?
- - Statistical Reasoning on iTunes U
- - My worst (recent) experience with peer review
- - How Does the Film Industry Actually Make Money?
- - A Northwest Pipeline to Silicon Valley
- - Skepticism+Ideas+Grit
- - The power of power
- - Replication and validation in -omics studies - just as important as reproducibility
- - Computing and Sustainability: What Can Be Done?
- - Meet the Skeptics: Why Some Doubt Biomedical Models - and What it Takes to Win Them Over
- - Sunday data/statistics link roundup (7/1)
- - Obamacare is not going to solve the health care crisis, but a new initiative, led by a statistician, may help
- - Motivating statistical projects
- - The price of skepticism
- - Follow up on "Statistics and the Science Club"
- - The problem with small big data
- - Hilary Mason: From Tiny Links, Big Insights
- - The Evolution of Music
- - A specific suggestion to help recruit/retain women faculty at Hopkins
- - Sunday data/statistics link roundup (6/24)
- - Statistics and the Science Club
- - Pro Tips for Grad Students in Statistics/Biostatistics (Part 2)
- - E.P.A. Casts New Soot Standard as Easily Met
- - Pro Tips for Grad Students in Statistics/Biostatistics (Part 1)
- - Sunday data/statistics link roundup (6/17)
- - Statisticians, ASA, and Big Data
- - Poison gas or...air pollution?
- - Big Data Needs May Create Thousands Of Tech Jobs
- - Green: E.P.A. Soot Rules Expected This Week
- - Chris Volinsky knows where you are
- - Getting a grant...or a startup
- - Sunday data/statistics link roundup (6/10)
- - China Asks Embassies to Stop Measuring Air Pollution
- - How Big Data Gets Real
- - Interview with Amanda Cox - Graphics Editor at the New York Times
- - Writing software for someone else
- - Why "no one reads the statistics literature anymore"
- - View my Statistics for Genomics lectures on Youtube and ask questions on facebook/twitter
- - Schlep blindness in statistics
- - Sunday data/statistics link roundup (5/27)
- - "How do we evaluate statisticians working in genomics? Why don't they publish in stats journals?" Here is my answer
- - Sunday data/statistics link roundup (5/20)
- -
- - Health by numbers: A statistician's challenge
- - Facebook Needs to Turn Data Into Investor Gold
- - Computational biologist blogger saves computer science department
- - Sunday data/statistics link roundup (5/13)
- - Interview with Hadley Wickham - Developer of ggplot2
- - What are the products of data analysis?
- - DealBook: Glaxo to Make Hostile Bid for Human Genome Sciences
- - Data analysis competition combines statistics with speed
- - How do you know if someone is great at data analysis?
- - Illumina stays independent, for now
- - UCLA Data Fest 2012
- - New National Academy of Sciences Members
- -
- - Just like regular communism, dongle communism has failed
- - GE's Billion-Dollar Bet on Big Data
- - Sample mix-ups in datasets from large studies are more common than you think
- - A disappointing response from @NatureMagazine about folks with statistical skills
- - Sunday data/statistics link roundup (4/29)
- - People in positions of power that don't understand statistics are a big problem for genomics
- - Nature is hiring a data editor...how will they make sense of the data?
- - How do I know if my figure is too complicated?
- - On the future of personalized medicine
- - Sunday data/statistics link roundup (4/22)
- - Replication, psychology, and big science
- - Roche: Illumina Is No Apple
- - Sunday data/statistics link roundup (4/15)
- - Interview with Drew Conway - Author of "Machine Learning for Hackers"
- - The Problem with Universities
- - Statistics is not math...
- - Evolution, Evolved
- - What is a major revision?
- - Sunday data/statistics link roundup (4/8)
- - Study Says DNA’s Power to Predict Illness Is Limited
- - Epigenetics: Marked for success
- - ENAR Meeting
- - R 2.15.0 is released
- - New U.S. Research Will Aim at Flood of Digital Data
- - Big Data Meeting at AAAS
- - Roche Raises Illumina Bid to $51, Seeking Faster Deal
- - Justices Send Back Gene Case
- - Supreme court vacates ruling on BRCA gene patent!
- - R and the little data scientist's predicament
- - Sunday data/statistics link roundup (3/25)
- - Some thoughts from Keith Baggerly on the recently released IOM report on translational omics
- - This graph shows that President Obama's proposed budget treats the NIH even worse than G.W. Bush - Sign the petition to increase NIH funding!
- - Big Data for the Rest of Us, in One Start-Up
- - More commentary on Mayo v. Prometheus
- - Laws of Nature and the Law of Patents: Supreme Court Rejects Patents for Correlations
- - Supreme court unanimously rules against personalized medicine patent!
- - Interview with Amy Heineike - Director of Mathematics at Quid
- - Sunday data/statistics link roundup (3/18)
- - Peter Norvig on the "Unreasonable Effectiveness of Data"
- - A proposal for a really fast statistics journal
- - Frighteningly Ambitious Startup Ideas
- - Sunday Data/Statistics Link Roundup (3/11)
- - Answers in Medicine Sometimes Lie in Luck
- - Cost of Gene Sequencing Falls, Raising Hopes for Medical Advances
- - IBM’s Watson Gets Wall Street Job After ‘Jeopardy’ Win
- - Mission Control, Built for Cities
- - A plot of my citations in Google Scholar vs. Web of Science
- - R.A. Fisher is the most influential scientist ever
- - Are banks being sidelined by retailers' data collection?
- - Characteristics of my favorite statistics talks
- - DealBook: Roche Extends Deadline for Illumina Offer
- - Sunday data/statistics link roundup (3/4)
- - True Innovation
- - Confronting a Law Of Limits
- - An essay on why programmers need to learn statistics
- - A cool profile of a human rights statistician
- - The case for open computer programs
- - Statistics project ideas for students
- - Gulf on Open Access to Federally Financed Research
- - Duke Taking New Steps to Safeguard Research Integrity
- - The Duke Saga Starter Set
- - Graham & Dodd's Security Analysis: Moneyball for...Money
- - 'WaterBillWoman' pestered city for years over faulty bills
- - Prediction: the Lasso vs. just using the top 10 predictors
- - Monitoring Your Health With Mobile Devices
- - Professional statisticians agree: the knicks should start Steve Novak over Carmelo Anthony
- - Air Pollution Linked to Heart and Brain Risks
- - Interracial Couples Who Make the Most Money
- - Scientists Find New Dangers in Tiny but Pervasive Particles in Air Pollution
- - I don't think it means what ESPN thinks it means
- - 60 Lives, 30 Kidneys, All Linked
- - Company Unveils DNA Sequencing Device Meant to Be Portable, Disposable and Cheap
- - How Companies Learn Your Secrets
- - I.B.M.: Big Data, Bigger Patterns
- - A Flat Budget for NIH in 2013 - ScienceInsider
- - Harvard's Stat 110 is now a course on iTunes
- - Mathematicians Organize Boycott of a Publisher
- - Mortimer Spiegelman Award: Call for Nominations. Deadline is April 1, 2012
- - The Duke Clinical Trials Saga: What Really Happened
- -
- - At MSNBC, a Professor as TV Host
- - Sunday Data/Statistics Link Roundup (2/12)
- - The Age of Big Data
- - Peter Thiel on Peer Review/Science
- - Data says Jeremy Lin is for real
- - Duke Saga on 60 Minutes this Sunday
- - An example of how sending a paper to a statistics journal can get you scooped
- - Statisticians and Clinicians: Collaborations Based on Mutual Respect
- - DealBook: Illumina Formally Rejects Roche's Takeover Bid
- - Wolfram, a Search Engine, Finds Answers Within Itself
- - An R script for estimating future inflation via the Treasury market
- - Sunday Data/Statistics Link Roundup (2/5)
- - Why don't we hear more about Adrian Dantley on ESPN? This graph makes me think he was as good an offensive player as Michael Jordan.
- - Cleveland's (?) 2001 plan for redefining statistics as "data science"
- - Evidence-based Music
- - This graph makes me think Kobe is not that good, he just shoots a lot
- - Why in-person education isn't dead yet...but a statistician could finish it off
- - Sunday data/statistics link roundup (1/29)
- - This simple bar graph clearly demonstrates that the US can easily increase research funding
- - When should statistics papers be published in Science and Nature?
- - The end of in-class lectures is closer than I thought
- - A wordcloud comparison of the 2011 and 2012 #SOTU
- - Why statisticians should join and launch startups
- - Sunday Data/Statistics Link Roundup (1/21)
- - Interview With Joe Blitzstein
- - Data Journalism Awards
- - Fundamentals of Engineering Review Question Oops
- - figshare and don't trust celebrities stating facts
- -
- - Sunday Data/Statistics Link Roundup
- - In the era of data what is a fact?
- - Academics are partly to blame for supporting the closed and expensive access system of publishing
- - Help us rate health news reporting with citizen-science powered http://www.healthnewsrater.com
- - Statistical Crime Fighter
- - Do you own or rent?
- - A statistician and Apple fanboy buys a Chromebook...and loves it!
- - Sunday Data/Statistics Link Roundup
- - Where do you get your data?
- - Building the Team That Built Watson
- - Make us a part of your day - add Simply Statistics to your RSS feed
- - P-values and hypothesis testing get a bad rap - but we sometimes find them useful.
- - Why all #academics should have professional @twitter accounts
- - Will Amazon Offer Analytics as a Service?
- - Baltimore gun offenders and where academics don't live
- - List of cities/states with open data - help me find more!

## 2011

- - Grad students in (bio)statistics - do a postdoc!
- - An R function to map your Twitter Followers
- - On Hard and Soft Money
- - New features on Simply Statistics
- - In Greece, a statistician faces life in prison for doing his job: calculating and reporting a statistic
- - Interview with Nathan Yau of FlowingData
- - Dear editors/associate editors/referees, Please reject my papers quickly
- - Smoking is a choice, breathing is not.
- - The Supreme Court's interpretation of statistical correlation may determine the future of personalized medicine
- - Interview w/ Mario Marazzi, Puerto Rico Institute of Statistics Director, on the importance of Government Statisticians
- - Plotting BeijingAir Data
- - Clean Air A 'Luxury' In Beijing's Pollution Zone
- - Outrage Grows Over Air Pollution and China’s Response
- - Beijing Air (cont'd)
- - Who can resist Biostatistics Ryan Gosling?
- - Preventing Errors through Reproducibility
- - Online Learning, Personalized
- - Citizen science makes statistical literacy critical
- - The worlds has changed from analogue to digital and it's time mathematical education makes the change too.
- - Reverse scooping
- - New S.E.C. Tactics Yield Actions Against Hedge Funds
- - Reproducible Research in Computational Science
- - Roger's perspective on reproducible research published in Science
- - Beijing Air
- - DNA Sequencing Caught in Deluge of Data
- - Selling the Power of Statistics
- - Contributions to the R source
- - Reproducible Research and Turkey
- - Apple this is ridiculous - you gotta upgrade to upgrade!?
- - An R function to analyze your Google Scholar Citations page
- - Data Scientist vs. Statistician
- - Ozone rules
- - Show 'em the data!
- - Interview with Héctor Corrada Bravo
- - Google Scholar Pages
- -
- - Amazon EC2 is #42 on Top 500 supercomputer list
- - Preparing for tenure track job interviews
- - OK Cupid data on Infochimps - anybody got $1k for data?
- - First 100 Posts
- - The Cost of a U.S. College Education
- - New O'Reilly book on parallel R computation
- - Cooperation between Referees and Authors Increases Peer Review Accuracy
- - Expected Salary by Major
- - Statisticians on Twitter...help me find more!
- - Coarse PM and measurement error paper
- - Is Statistics too darn hard?
- - Reproducible research: Notes from the field
- - New ways to follow Simply Statistics
- - Interview with Victoria Stodden
- - Free access publishing is awesome...but expensive. How do we pay for it?
- -
- - Guest Post: SMART thoughts on the ADHD 200 Data Analysis Competition
- - We need better marketing
- - Computing on the Language Followup
- - Advice on promotion letters bleg
- - The 5 Most Critical Statistical Concepts
- - Computing on the Language
- - Visualizing Yahoo Email
- - Web-scraping
- - Archetypal Athletes
- - Graduate student data analysis inspired by a high-school teacher
- - The self-assessment trap
- - Interview With Chris Barr
- - Anthropology of the Tribe of Statisticians
- - Finding good collaborators
- - Caffo's Theorem
- - Do we really need applied statistics journals?
- - Spectacular Plots Made Entirely in R
- - Caffo + Ninjas = Awesome
- - Colors in R
- - Competing through data: Three experts offer their game plan
- - Where would we be without Dennis Ritchie?
- - Interview With Daniela Witten
- - Moneyball for Academic Institutes
- - Benford's law
- - Errors in Biomedical Computing
- - Authorship conventions
- - Government data collection vortex
- - Terence’s Stuff: Speaking, reading, writing
- - An R function to determine if you are a data scientist
- - Excuse our mess...
- - APIs!
- - A nice presentation on regex in R
- - Hello world!
- - Single Screen Productivity
- - R Workshop: Reading in Large Data Frames
- - A Really Cool Paper on the "Hot Hand" in Sports
- - R Workshop
- - Prezi
- - Submitting scientific papers is too time consuming
- - Cool papers
- - Defining data science
- - Innovation and overconfidence
- - OracleWorld Claims and Sensations
- - Karl's take on meetings
- - Department of Analytics, anyone?
- - Bits: Big Data: Sorting Reality From the Hype
- - Battling Bad Science
- - Why does Obama need statisticians?
- - Kindle Fire and Machine Learning
- - Once in a lifetime collapse
- - Obama recruiting analysts who know R
- - The Open Data Movement
- - The future of graduate education
- - The p>0.05 journal
- - Some cool papers
- - Unoriginal genius
- - 25 minute seminars
- - By poring over statistics ignored by conventional scouts, - 05.12.03 - SI Vault
- - How do you spend your day?
- - Getting email responses from busy people
- - Dongle communism
- - Most popular infographics
- - The Killer App for Peer Review
- - StatistiX
- - Small ball is a bad strategy
- - MacArthur Fellow Shwetak Patel
- - Private health insurers to release data
- - Finish and publish
- - Statistician Profiles
- - Data Sources
- - Meetings
- - Ideas/Data blogs I read
- - Google Fusion Tables
- - Communicating uncertainty visually
- - Another academic job market option: liberal arts colleges
- - When overconfidence is good
- - Dissecting the genomics of trauma
- - Advice for stats students on the academic job market
- - The Duke Saga
- - What is a Statistician?
- - Data visualization and art
- -
- - Data Science = Hot Career Choice
- - Data analysis companies getting gobbled up
- - Build your own pre-cog
- - Awesome Stat Ed Links
- - Pre-cog and stats
- - Where are the Case Studies?
- -
- - First things first
- - Example post