Cohort data with dropout: a simulation study comparing five longitudinal analysis methods.

ABSTRACT:

Background

A simulation study was performed to visually demonstrate the problems with repeated measures ANOVA (RMA) and t-tests (TT) compared to linear mixed effects (LME), covariance pattern (CP) or generalized estimating equations (GEE) models in longitudinal cohort studies with dropout.

Methods

Data were generated for a realistic, observational study on health-related quality of life (HRQoL) in a small, heterogeneous sample of children undergoing anti-reflux surgery. Each generated sample comprised two groups: one with low levels (4-10%) of random dropout (missing completely at random, MCAR); the other with higher levels (10-40%), where the chance of dropout depended on lower baseline HRQoL (missing at random, MAR). Outcome data were simulated for four time points in a on

SUBMITTER: Stellato RK 

PROVIDER: S-EPMC12004754 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature