40: PROC MIXED vs LME4

Music City Center 

As researchers transition from SAS to R, understanding the differences between SAS PROC MIXED and R's lme4::lmer is crucial for accurate linear mixed-effects modeling. Both tools implement linear mixed-effects models, yet users may encounter mismatches in outputs due to the distinct optimization algorithms employed by PROC MIXED and lmer. This poster will also explain how to handle different warning and error messages in lmer. By highlighting these key differences and providing practical guidance, this poster aims to support users in effectively adopting lme4 in R for their linear mixed-effects modeling needs.

SAS

R

Programming

Statistics

Variance components

Mixed model 

Section on Medical Devices and Diagnostics