Imputation strategies for missing longitudinal data.

Longitudinal studies are commonly used to study processes of change. Because data are collected over time, missing data are pervasive in longitudinal studies, and complete ascertainment of all variables is rare. An imputation strategy for completing longitudinal data sets with missing covariate information is proposed which uses Bayesian methodology to improve upon imputation techniques commonly u…