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Andrew Gelman et al.
8,985 posts
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Andrew Gelman et al.
@StatModeling
Automatically tweets new posts from statmodeling.stat.columbia.edu Please respond in the comment section of the blog. Old posts spool at twitter.com/StatRetro
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  • user avatar
    Andrew Gelman et al.
    @StatModeling
    Mar 15, 2018
    You need 16 times the sample size to estimate an interaction than to estimate a main effect andrewgelman.com/2018/03/15/nee…
  • user avatar
    Andrew Gelman et al.
    @StatModeling
    Apr 6, 2020
    BDA FREE (Bayesian Data Analysis now available online as pdf) statmodeling.stat.columbia.edu/2020/04/06/bda…
  • user avatar
    Andrew Gelman et al.
    @StatModeling
    Nov 9, 2023
    “You need 16 times the sample size to estimate an interaction than to estimate a main effect,” explained statmodeling.stat.columbia.edu/2023/11/09/you…
    152K
  • user avatar
    Andrew Gelman et al.
    @StatModeling
    Dec 24, 2020
    “Dream Investigation Results: Official Report by the Minecraft Speedrunning Team” statmodeling.stat.columbia.edu/2020/12/24/dre…
  • user avatar
    Andrew Gelman et al.
    @StatModeling
    Apr 19, 2020
    Concerns with that Stanford study of coronavirus prevalence statmodeling.stat.columbia.edu/2020/04/19/fat…
  • user avatar
    Andrew Gelman et al.
    @StatModeling
    Mar 7, 2020
    Post Edited: Coronavirus age-specific fatality ratio, estimated using Stan, and (attempting) to account for underreporting of cases and the time delay to death. Now with data and code. statmodeling.stat.columbia.edu/2020/03/07/cor…
  • user avatar
    Andrew Gelman et al.
    @StatModeling
    Aug 18, 2021
    Coronavirus and Simpson’s paradox: Oldsters are more likely to be vaccinated and more likely to have severe infections, so you need to adjust for age when comparing vaccinated and unvaccinated people statmodeling.stat.columbia.edu/2021/08/18/cor…
  • user avatar
    Andrew Gelman et al.
    @StatModeling
    Sep 14, 2024
    Freakonomics asks, “Why is there so much fraud in academia,” but without addressing one big incentive for fraud, which is that, if you make grabby enough claims, you can get featured in . . . Freakonomics! statmodeling.stat.columbia.edu/2024/09/14/fre…
    32K
  • user avatar
    Andrew Gelman et al.
    @StatModeling
    Feb 6, 2024
    It’s bezzle time: The Dean of Engineering at the University of Nevada gets paid $372,127 a year and wrote a paper that’s so bad, you can’t believe it. statmodeling.stat.columbia.edu/2024/02/06/its…
    169K
  • user avatar
    Andrew Gelman et al.
    @StatModeling
    May 23, 2021
    Thinking fast, slow, and not at all: System 3 jumps the shark statmodeling.stat.columbia.edu/2021/05/23/thi…
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    Andrew Gelman et al.
    @StatModeling
    Oct 24, 2020
    Reverse-engineering the problematic tail behavior of the Fivethirtyeight presidential election forecast statmodeling.stat.columbia.edu/2020/10/24/rev…
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    Andrew Gelman et al.
    @StatModeling
    Jan 25, 2019
    When doing regression (or matching, or weighting, or whatever), don’t say “control for,” say “adjust for” statmodeling.stat.columbia.edu/2019/01/25/reg…
  • user avatar
    Andrew Gelman et al.
    @StatModeling
    Mar 8, 2025
    “A Post Mortem on the Gino Case”: “Committing fraud is, right now, a viable career strategy that can propel you at the top of the academic world.” statmodeling.stat.columbia.edu/2025/03/08/a-p…
    97K
  • user avatar
    Andrew Gelman et al.
    @StatModeling
    Jan 13, 2019
    Coursera course on causal inference from Michael Sobel at Columbia statmodeling.stat.columbia.edu/2019/01/13/cou…