Shared random parameter models: A legacy of the biostatistics program at the National Heart, Lung, and Blood Institute

• Published in: Statistics in medicine Vol. 38; no. 4; pp. 501 - 511
• Main Author: Albert, Paul S.
• Format: Journal Article
• Language: English
• Published: England Wiley Subscription Services, Inc 20.02.2019
• Subjects: Biostatistics; Health risk assessment; Humans; joint models; Longitudinal Studies; Missing data; Models, Statistical; National Heart, Lung, and Blood Institute (U.S.); nonignorable missing data; Patient Dropouts; random effects; repeated measures; risk prediction; United States; Within-subjects design; United States; random effects; joint models; risk prediction; nonignorable missing data; repeated measures

Shared random parameter models (SRPMs) were first introduced by researchers at the National Heart Lung and Blood Institute (NHLBI) Biostatistics Branch for analyzing longitudinal data with informative dropout (Wu and Carroll, 1987; Wu and Bailey, 1988; Follmann and Wu, 1995; Albert and Follmann, 200...