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Do you really need a multilevel model? A preview of powerlmm 0.4.0

In this post I will show some of the new simulation features that will be available in powerlmm 0.4.0 . You can already install the dev…

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Estimating treatment effects and ICCs from (G)LMMs on the observed scale...

When a multilevel model includes either a non-linear transformation (such as the log-transformation) of the response variable, or of the…

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New paper: The consequences of ignoring therapist effects in longitudinal...

We just published a paper, The consequences of ignoring therapist effects in trials with longitudinal data: A simulation study , where we…

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Change over time is not "treatment response"

This will be a non-technical post illustrating the problems with identifying treatment responders or non-responders using inappropriate…

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Mediation, confounding, and measurement error

Mediation might be the ultimate example of how a method continues to be used despite a vast number of papers and textbooks describing the…

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Heterogeneous treatment effects and homogeneous outcome variances

Recently there has been a couple of meta-analyses investigating heterogeneous treatment effects by analyzing the ratio of the outcome…

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Why linear mixed-effects models are probably not the solution to your missing...

Linear mixed-effects models are often used for their ability to handle missing data using maximum likelihood estimation. In this post I will…

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The Cohen's d app translation project

My Cohen's d page support multiple languages, any help with translation the contents into more languages is very welcome. The contents…

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