You need 16 times the sample size to estimate an interaction than to estimate a main effect andrewgelman.com/2018/03/15/nee…
Andrew Gelman et al.
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- BDA FREE (Bayesian Data Analysis now available online as pdf) statmodeling.stat.columbia.edu/2020/04/06/bda…
- “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…
- “Dream Investigation Results: Official Report by the Minecraft Speedrunning Team” statmodeling.stat.columbia.edu/2020/12/24/dre…
- Concerns with that Stanford study of coronavirus prevalence statmodeling.stat.columbia.edu/2020/04/19/fat…
- 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…
- 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…
- 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…
- 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…
- Thinking fast, slow, and not at all: System 3 jumps the shark statmodeling.stat.columbia.edu/2021/05/23/thi…
- Reverse-engineering the problematic tail behavior of the Fivethirtyeight presidential election forecast statmodeling.stat.columbia.edu/2020/10/24/rev…
- 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…
- “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…
- Coursera course on causal inference from Michael Sobel at Columbia statmodeling.stat.columbia.edu/2019/01/13/cou…

