Latent-model robustness in joint models for a primary endpoint and a longitudinal process.
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ABSTRACT:
SUBMITTER: Huang X
PROVIDER: S-EPMC2748157 | biostudies-literature | 2009 Sep
REPOSITORIES: biostudies-literature
Publications
Latent-model robustness in joint models for a primary endpoint and a longitudinal process.
Huang Xianzheng X Stefanski Leonard A LA Davidian Marie M
Biometrics 20090123 3
Joint modeling of a primary response and a longitudinal process via shared random effects is widely used in many areas of application. Likelihood-based inference on joint models requires model specification of the random effects. Inappropriate model specification of random effects can compromise inference. We present methods to diagnose random effect model misspecification of the type that leads to biased inference on joint models. The methods are illustrated via application to simulated data, a ...[more]
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