How not to control for multiple testing

While reading the method section of a recent article by Solivares et al, I came upon the following paragraph: "The inclusion of many predictors in statistical models increases the chance of type I error (false positives). To account for this we used a Bernoulli process to detect false discovery rates, where the probability (P) of … Continue reading How not to control for multiple testing

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About my PhD defense in Germany

I recently held my defense and will most certainly make a couple of posts in the ”near” future on important aspects of the PhD that might helped current or future PhDs. In this post I will talk a bit about my experience during the defense and what helped me preparing it but also holding it. … Continue reading About my PhD defense in Germany

Interpreting random effects in linear mixed-effect models

Recently I had more and more trouble to find topics for stats-orientated posts, fortunately a recent question from a reader gave me the idea for this one. In this post I will explain how to interpret the random effects from linear mixed-effect models fitted with lmer (package lme4). For more informations on these models you … Continue reading Interpreting random effects in linear mixed-effect models