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Applied statistics, data analysis, and visualization

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  • 1.
    How long are you going to live? | Understanding Uncertainty (understandinguncertainty.org)

    Survival animation

    1 point by gmp26 8 days ago comment
  • 2.
    Understanding Uncertainty (understandinguncertainty.org)
    2 points by nbarrowman 18 days ago comment
  • 3.
    William S. Cleveland: Home Page (cm.bell-labs.com)
    1 point by nbarrowman 16 days ago comment
  • 4.
    Models: Masterpieces and Lame Excuses (www-stat.wharton.upenn.edu)

    By J. Michael Steele

    1 point by nbarrowman 19 days ago comment
  • 5.
    "g, a Statistical Myth" (Cosma Shalizi) (cscs.umich.edu)

    With a discussion of factor analysis...

    3 points by tdanford 2 months ago comment
  • 6.
    Social Science Statistics Blog: Common sense and research design (www.iq.harvard.edu)
    2 points by nbarrowman 2 months ago comment
  • 7.
    Data Sciences Analytics blog (www.dsanalytics.com)

    musings on things 'data analytical' and related computational issues.. anything from establishing reasonable limits on influence to blogmining thoughts, visualisation, website optimization, applied experimental design, choice modelling and market research

    2 points by Mutley2003 2 months ago comment
  • 8.
    The Endeavour ยป Four types of errors (www.johndcook.com)
    2 points by nbarrowman 2 months ago comment
  • 9.
    p-values blah blah blah (www.stat.columbia.edu)
    2 points by nbarrowman 2 months ago comment
  • 10.
    Online Interactive Courses in Statistics (statisticsonline.info)

    Online interactive courses in statistics including resampling methods, power and sample size determination, and using R.

    2 points by Dorthy Middleton 2 months ago comment
  • 11.
    Stephen Senn's pharmaceutical statistics (www.senns.demon.co.uk)

    Extensive page of links for those interested in statistics of drug development and related matters

    2 points by StephenSenn 2 months ago comment
  • 12.
    The Open Data Foundation (www.opendatafoundation.org)

    The Open Data Foundation (ODaF) is a non-profit organization dedicated to the adoption of global metadata standards and the development of open-source solutions promoting the use of statistical data.

    2 points by nbarrowman 2 months ago comment
  • 13.
    BrightStat (www.brightstat.com)

    Online application for statistical analysis.

    2 points by dany 2 months ago comment
  • 14.
    AnalyticBridge (www.analyticbridge.com)

    Leading network for analytic professionals.

    2 points by vincentg64 2 months ago comment
  • 15.
    "Why I don't like Bayesian statistics" (Andrew Gelman) (www.stat.columbia.edu)

    Posted on April Fool's day.

    2 points by tdanford 2 months ago comment
  • 16.
    (theinfo) (theinfo.org)

    Another Aaron Swartz project. A reasonable list of available datasets, although most of them will probably be familiar to anyone who's paying attention.

    2 points by tdanford 2 months ago comment
  • 17.
    Good Math, Bad Math : Introduction to Linear Regression (scienceblogs.com)
    2 points by nbarrowman 2 months ago comment
  • 18.
    UN Make Large Amounts of Data Available (eagereyes.org)
    2 points by nbarrowman 2 months ago comment
  • 19.
    Stats for the Health Professional (doctor.medscape.com)

    A series of articles about statistics written for physicians.

    1 point by nbarrowman about 1 month ago comment
  • 20.
    Two men, two visions (Statistical graphics in newspapers) (www.ibiblio.org)

    By Mike Finn.

    1 point by nbarrowman about 1 month ago comment
  • 21.
    Australian Statistics Poster Competition (www.usq.edu.au)
    1 point by nbarrowman about 1 month ago comment
  • 22.
    Pitfalls of Data Analysis (or How to Avoid Lies and Damned Lies) (my.execpc.com)

    By Clay Helberg

    1 point by nbarrowman about 1 month ago comment
  • 23.
    The Chronicle: 5/4/2001: Telling the Truth About Damned Lies and Statistics (chronicle.com)
    1 point by nbarrowman about 1 month ago comment
  • 24.
    Statistics in court: the ultimate communication challenge (pdf) (www.ime.usp.br)

    Paper by Janet Chaseling

    1 point by nbarrowman about 1 month ago comment
  • 25.
    What every statistician ought to know (remember?) about causation (pdf) (www.campbellcollaboration.org)

    Presentation by Paul Holland (ETS)

    1 point by nbarrowman about 1 month ago comment
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