Ontology highlight
ABSTRACT:
SUBMITTER: Li N
PROVIDER: S-EPMC3855104 | biostudies-literature | 2013 Jan
REPOSITORIES: biostudies-literature
Li Ning N Daniels Michael J MJ Li Gang G Elashoff Robert M RM
Biometrical journal. Biometrische Zeitschrift 20121102 1
We explore a Bayesian approach to selection of variables that represent fixed and random effects in modeling of longitudinal binary outcomes with missing data caused by dropouts. We show via analytic results for a simple example that nonignorable missing data lead to biased parameter estimates. This bias results in selection of wrong effects asymptotically, which we can confirm via simulations for more complex settings. By jointly modeling the longitudinal binary data with the dropout process th ...[more]