Model selection based on resampling approaches for cluster longitudinal data with missingness in outcomes

• Published in: Statistics in medicine Vol. 37; no. 20; pp. 2982 - 2997
• Main Authors: Chen, Chun‐Shu, Shen, Chung‐Wei
• Format: Journal Article
• Language: English
• Published: England Wiley Subscription Services, Inc 10.09.2018
• Subjects: bootstrap; Cluster Analysis; Computer Simulation; data perturbation; generalized estimating equations; Humans; Longitudinal Studies; Medical research; Models, Statistical; variable selection; weighted quadratic loss; weighted quadratic loss; data perturbation; bootstrap; variable selection; generalized estimating equations
• ISSN: 0277-6715; 1097-0258; 1097-0258
• DOI: 10.1002/sim.7801

In medical and health studies, longitudinal and cluster longitudinal data are often collected, where the response variable of interest is observed repeatedly over time and along with a set of covariates. Model selection becomes an active research topic but has not been explored largely due to the co...