Why linear mixed-effects models are probably not the solution to your missing data problems
Linear mixed-effects models are often used for their ability to handle missing data using maximum likelihood estimation. In this post I will…
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…
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…
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…
New paper: The consequences of ignoring therapist effects in longitudinal data analysis
We just published a paper, The consequences of ignoring therapist effects in trials with longitudinal data: A simulation study , where we…
Since 2014 I've created various interactive tools to teach statistics.