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You are here		ewulczyn.github.io How Naive AB Testing Goes Wrong and How to Fix It - Ellery Wulczyn - Data Scientist @ WMF
\|	\|	errorstatistics.com Stephen Senn: "Delta Force: To what extent is clinical relevance relevant?" (Guest Post) \| Error Statistics Philosophy	6.5 parsecs away Travel
\|	\|	Stephen Senn Head, Methodology and Statistics Group, Competence Center for Methodology and Statistics (CCMS), Luxembourg Delta Force To what extent is clinical relevance relevant? Inspiration This note has been inspired by a Twitter exchange with respected scientist and famous blogger David Colquhoun. He queried whether a treatment that had 2/3 of an effect that would...	6.5 parsecs away Travel
\|	\|	aurimas.eu P-value is the probability that the treatment effect is larger than zero (under certain conditions) - @aurimas	1.2 parsecs away Travel
\|	\|	a.k.a. why you should (not ?) use uninformative priors in Bayesian A/B testing.	1.2 parsecs away Travel
\|	\|	statsandr.com Student's t-test in R and by hand: how to compare two groups under different scenarios? - Stats and R	4.1 parsecs away Travel
\|	\|	Learn how to apply the Student's t-test by hand and in R in order to compare two independent or paired samples with known or unknown variances	4.1 parsecs away Travel
\|	\|	gregoryfaletto.com Estimating treatment effects with a linear model in a randomized experiment-insights from the Double/Debiased ML framework - Gregory Faletto	26.9 parsecs away Travel
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