Partitioned GMM logistic regression models for longitudinal data

• Published in: Statistics in medicine Vol. 38; no. 12; pp. 2171 - 2183
• Main Authors: Irimata, Kyle M., Broatch, Jennifer, Wilson, Jeffrey R.
• Format: Journal Article
• Language: English
• Published: England Wiley Subscription Services, Inc 30.05.2019
• Subjects: Childrens health; Generalized method of moments; logistic regression; longitudinal data; Longitudinal studies; Regression analysis; repeated measures; time‐dependent covariates; Within-subjects design; generalized method of moments; logistic regression; longitudinal data; repeated measures; time-dependent covariates
• ISSN: 0277-6715; 1097-0258; 1097-0258
• DOI: 10.1002/sim.8099

Correlation is inherent in longitudinal studies due to the repeated measurements on subjects, as well as due to time‐dependent covariates in the study. In the National Longitudinal Study of Adolescent to Adult Health (Add Health), data were repeatedly collected on children in grades 7‐12 across four...