Welcome to Kristoffer Magnusson's blog about

R, STATISTICS, PSYCHOLOGY, OPEN SCIENCE, DATA VISUALIZATION

Confounded dose-response effects of treatment adherence: fitting Bayesian instrumental variable models using brms

Non-randomized comparisons are common in RCTs. In this post I show some examples of confounding and collider bias, using treatment adherence as an example. I present a small simulation study that show that common regression models used in clinical psychology, makes little sense, and that Bayesian instrumental variable regression can be easily fit using the R package brms.

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Introducing 'powerlmm' an R package for power calculations for longitudinal multilevel models

Over the summer I've been working on finishing my new R package 'powerlmm', which is now almost complete. It provides flexible power calculations for typical two- and three-level longitudinal linear mixed models, with unbalanced treatment groups and cluster sizes, as well as with missing data and random slopes at both the subject and cluster-level.

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