About

We are three biostatistics professors (Jeff LeekRoger Peng, and Rafa Irizarry) who are fired up about the new era where data are abundant and statisticians are scientists. The views represented here are our own and do not represent the views of Johns Hopkins University or Harvard University.

About this blog: We’ll be posting ideas we find interesting, contributing to discussion of science/popular writing, linking to articles that inspire us, and sharing advice with up-and-coming statisticians.

Why “Simply Statistics”: We needed a title. Plus, we like the idea of using simple statistics to solve real, important problems. We aren’t fans of unnecessary complication -- that just leads to lies, damn lies and something else.

  • http://twitter.com/avilambert Avi Lambert

    As a fan of data visualization and statistics, I'm looking forward to this blog's insights.

  • http://www.facebook.com/profile.php?id=100004668337639 Azra Azra

    Sounds interesting! I am going to register for "Data analysis" course on coursera.

  • Richard Fellows

    Jeff - your approach with Data Analysis on Coursera is infectious and inspiring. Glad you decided to participate.

  • http://www.facebook.com/profile.php?id=702899923 Nabila Binte Zahur

    Hi Jeff - I am a student in your data analytics course on coursera, and have been really enjoying your course and learning a lot. However, I just missed the deadline on the first assignment because I got confused by the three kinds of time zones on the forum - I was using PST, as shown on the quizzes, but the final deadline was given in UTC. I have posted this in the forum, and hope you can help me figure out a way to stay on in the course. Thanks a lot for your attention, and sorry if I'm bugging you, but I couldn't find a way to email you. Thanks a lot.

  • David Burton

    The Data Analysis course is currently my second favourite course that I've started on Coursera - with Functional Programming in Scala as my favourite. Thanks Jeff, I'm recommending it to developer friends, as I think Data Analysis will become ever more important for various projects.

  • BobD59

    Jeff,
    I just wanted to thank you personally for your work in building and teaching the Data Analysis Coursera course. I know you realize that you subject yourself to intense criticism in a format like that, but I want to affirm that the class was incredible, the pace was perfect, the hours you estimated were spot on, and the subject matter was varied and relevant. Please look past the complainers in the forum, as I'm confident they are among the 95% that signed up for the class with no intention of actually treating it for what it was - a graduate level course with actual work to do. Thank you again. -Bob

  • Bruce Gumbert

    Jeff, Thought you course was great. I just saw a lecture on TED by Daphane Koller that has some very interesting data on peer review accuracy that you might be interested in. This is the link if you have not seen this yet http://www.ted.com/talks/daphne_koller_what_we_re_learning_from_online_education.html

  • Zack

    I can't seem to find the post, but I remember you spoke about why pie charts are terrible. I just read an article giving some counter arguments, and thought it might be relevant to your interests.

    http://speakingppt.com/2013/03/18/why-tufte-is-flat-out-wrong-about-pie-charts/

  • Ming Law

    Hi guys. I found about your blog through Jeffrey's Coursera course and have been enchanted by data/modeling/visualization ever since. I just want to give you guys two big thumbs up for what you're doing - it's both inspiring and educational! As an aside: I've definitely been drawn to attending JHSPH for school (most likely in Epi) because of some existing networks and the inspiration from you guys. Who knows though, right?

  • Shelley

    Hi Jeff, I took your Data Analysis on Coursera and really enjoyed the course. Thought you did a great job in putting it together and pacing it. However, I didn't have prior experience with R programming, and have been trying to do assignment #1 after reading about R programming myself.

    In Assignment #1, the data set includes a column called "Interest.Rate", whose class is factor. How does one do regression on this column since it is not numeric? I cannot figure out. Could you give me some hint? Or could someone who has completed this assignment help me?

    Much thanks.

  • Valentin Tablan

    Hi,

    I tried to subscribe to your RSS feed but my reader (Thunderbird) refuses to load the RSS because the feed content seems to contain an invalid character. See the diagnostics at http://validator.w3.org/feed/check.cgi?url=http%3A%2F%2Fsimplystatistics.org%2Ffeed%2F

    It would be great it that could be fixed...

    Thanks!

  • Vincent Granville

    I'm looking for feedback on my article "wine and alcohol analytics". I suggest an clinical trial approach with 8 segments to test a cure for alcohol addition. A cure that is believed to work for some segments of the cohort. I'm not a biostatistician, I'm not even a statistician, so I'd like to the opinion from experts. I also use a Markov chain to model transitions between segments. Do a Google search on "wine and alcohol analytics" to find my article.

  • amanda goldstandard

    If any students are having concerns with Statistics or are simply interested in gaining a
    winning edge, then please check out the award winning new:

    Data Analysis: Introduction to Statistics (Henry Gersh
    & Habiba Emadi)

    http://www.barnesandnoble.com/w/data-analysis-henry-gersh/1117225732?ean=9781493521524

  • http://ekendraonline.com/ Ekendra

    Simply Statistics providing facts about future stats and data management and visualization is itself so great; new comers (aren't we all new to this field?) will definitely benefit from these articles.

  • Luke Metcalfe

    Whole web data visualisation search engine: http://www.nationmaster.com/graph-search Put in a keyword and you get Pinterest-style results.