3 ms·

Thanks for sharing, any particular articles that had last impact on you?

by dpflan 1y ago

mcdonje 1y ago
idk about impact, but here are a couple I liked: - https://statmodeling.stat.columbia.edu/2025/08/25/what-writing-a-failed-rock-paper-scissors-program-taught-me-or-should-have-taught-me-about-sample-size-and-uncertainty/ https://statmodeling.stat.columbia.edu/2025/08/25/what-writi... - https://statmodeling.stat.columbia.edu/2025/09/04/assembling-an-unbiased-jury/ https://statmodeling.stat.columbia.edu/2025/09/04/assembling...
cubefox 1y ago
Here are the articles that were popular on HN over the years: https://hn.algolia.com/?q=statmodeling.stat.columbia.edu https://hn.algolia.com/?q=statmodeling.stat.columbia.edu
1u15 1y ago
Beyond “power pose”: Using replication failures and a better understanding of data collection and analysis to do better science https://statmodeling.stat.columbia.edu/2017/10/18/beyond-power-pose-using-replication-failures-better-understanding-data-collection-analysis-better-science/ https://statmodeling.stat.columbia.edu/2017/10/18/beyond-pow... You need 16 times the sample size to estimate an interaction than to estimate a main effect https://statmodeling.stat.columbia.edu/2018/03/15/need16/ https://statmodeling.stat.columbia.edu/2018/03/15/need16/ Debate over effect of reduced prosecutions on urban homicides; also larger questions about synthetic control methods in causal inference. https://statmodeling.stat.columbia.edu/2023/10/12/debate-over-effect-of-reduced-prosecutions-on-urban-homicides-also-larger-questions-about-synthetic-control-methods-in-causal-inference/ https://statmodeling.stat.columbia.edu/2023/10/12/debate-ove... Bayesians moving from defense to offense: “I really think it’s kind of irresponsible now not to use the information from all those thousands of medical trials that came before. Is that very radical?” https://statmodeling.stat.columbia.edu/2023/12/23/bayesians-moving-from-defense-to-offense-i-really-think-its-kind-of-irresponsible-now-not-to-use-the-information-from-all-those-thousands-of-medical-trials-that-came-before-is-that-very/ https://statmodeling.stat.columbia.edu/2023/12/23/bayesians-...

Thanks for sharing, any particular articles that had last impact on you?

by dpflan 1y ago

Thanks for sharing, any particular articles that had last impact on you?

idk about impact, but here are a couple I liked: - https://statmodeling.stat.columbia.edu/2025/08/25/what-writing-a-failed-rock-paper-scissors-program-taught-me-or-should-have-taught-me-about-sample-size-and-uncertainty/ https://statmodeling.stat.columbia.edu/2025/08/25/what-writi... - https://statmodeling.stat.columbia.edu/2025/09/04/assembling-an-unbiased-jury/ https://statmodeling.stat.columbia.edu/2025/09/04/assembling...

cubefox 1y ago

Here are the articles that were popular on HN over the years: https://hn.algolia.com/?q=statmodeling.stat.columbia.edu https://hn.algolia.com/?q=statmodeling.stat.columbia.edu

1u15 1y ago

Beyond “power pose”: Using replication failures and a better understanding of data collection and analysis to do better science https://statmodeling.stat.columbia.edu/2017/10/18/beyond-power-pose-using-replication-failures-better-understanding-data-collection-analysis-better-science/ https://statmodeling.stat.columbia.edu/2017/10/18/beyond-pow... You need 16 times the sample size to estimate an interaction than to estimate a main effect https://statmodeling.stat.columbia.edu/2018/03/15/need16/ https://statmodeling.stat.columbia.edu/2018/03/15/need16/ Debate over effect of reduced prosecutions on urban homicides; also larger questions about synthetic control methods in causal inference. https://statmodeling.stat.columbia.edu/2023/10/12/debate-over-effect-of-reduced-prosecutions-on-urban-homicides-also-larger-questions-about-synthetic-control-methods-in-causal-inference/ https://statmodeling.stat.columbia.edu/2023/10/12/debate-ove... Bayesians moving from defense to offense: “I really think it’s kind of irresponsible now not to use the information from all those thousands of medical trials that came before. Is that very radical?” https://statmodeling.stat.columbia.edu/2023/12/23/bayesians-moving-from-defense-to-offense-i-really-think-its-kind-of-irresponsible-now-not-to-use-the-information-from-all-those-thousands-of-medical-trials-that-came-before-is-that-very/ https://statmodeling.stat.columbia.edu/2023/12/23/bayesians-...