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You are here		pedermisager.org Quantifying the corroboration of a finding \| Peder M. Isager
\|	\|	daniellakens.blogspot.com The 20% Statistician: Why you should use omega-squared instead of eta-squared.	5.0 parsecs away Travel
\|	\|	[The points made in this blog posts are now published: Albers, C. & Lakens, D. (2017). Biased sample size estimates in a-priori power analy...	5.0 parsecs away Travel
\|	\|	r-video-tutorial.blogspot.com R tutorial for Spatial Statistics: Power analysis and sample size calculation for Agriculture	3.9 parsecs away Travel
\|	\|	Power analysis is extremely important in statistics since it allows us to calculate how many chances we have of obtaining realistic result...	3.9 parsecs away Travel
\|	\|	alexanderetz.com Understanding Bayes: A Look at the Likelihood \| The Etz-Files	4.0 parsecs away Travel
\|	\|	[This post has been updated and turned into a paper to be published in AMPPS] Much of the discussion in psychology surrounding Bayesian inference focuses on priors. Should we embrace priors, or should we be skeptical? When are Bayesian methods sensitive to specification of the prior, and when do the data effectively overwhelm it? Should...	4.0 parsecs away Travel
\|	\|	mybiasedcoin.blogspot.com My Biased Coin: STOC Workshop on "Algorithms with Predictions"	20.6 parsecs away Travel
\|		The STOC workshop on Algorithms with Predictions was on Friday, and I thought it went really well! I can't speak for my talk, but the other...	20.6 parsecs away Travel