Mixed Effects Logistic Regression Models for Multiple Longitudinal Binary Functional Limitation Responses with Informative Drop-Out and Confounding by Baseline Outcomes

DOI10.1111/j.0006-341X.2002.00137.xzbMath1209.62157WikidataQ42671989 ScholiaQ42671989MaRDI QIDQ3078914

Michael E. Miller, Allen R. Kunselman, Thomas R. Ten Have, Beth A. Reboussin

Publication date: 1 March 2011

Published in: Biometrics (Search for Journal in Brave)

zbMATH Keywords

numerical integrationnested random effectsautoregressive structurediscrete-time survivalshared parameter

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Generalized linear models (logistic models) (62J12) Estimation in survival analysis and censored data (62N02) Numerical integration (65D30)

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