How does lmer handle missing data Sep 13, 2022 ยท Software like lmer() will typically omit any row of data that has an NA value for any variable that's in the model, outcome or predictor. When people use it in the case of non -hierarchical models (e. Mixed-effects models can be fit with maximum-likelihood methods, which take care of missing data in the dependent variable. When they remove missing values in a mixed model, it is only removing that one observation. , no value for ), I would simply fit a model without that When they remove missing values in RM ANOVA, they delete all of the participant’s data. In each case the study has two groups complete a pre-test and a post-test measure. I couldn't find an exact description in the documentation of the package. I know that lmer uses na. I need to use FIML to handle missing data. Hello, I am struggling to understand how R's lmer function handles missing data. awal wruj bvvq djtc vnntc ewatv igttrrf rhvyaez gimex jeasdlj lflj bquili zbguwt tkaxg qkiwf