Beyond “power pose”: Using replication failures and a better understanding of data collection and analysis to do better science https://statmodeling.stat.columb

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-...