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• W2038173886 abstract "Abstract Longitudinal investigations play an increasingly prominent role in biomedical research. Much of the literature on specifying and fitting linear models for serial measurements uses methods based on the standard multivariate linear model. This article proposes a more flexible approach that permits specification of the expected response as an arbitrary linear function of fixed and time-varying covariates so that mean-value functions can be derived from subject matter considerations rather than methodological constraints. Three families of models for the covariance function are discussed: multivariate, autoregressive, and random effects. Illustrations demonstrate the flexibility and utility of the proposed approach to longitudinal analysis." @default.
• W2038173886 created "2016-06-24" @default.
• W2038173886 creator A5019656474 @default.
• W2038173886 date "1985-05-01" @default.
• W2038173886 modified "2023-09-24" @default.
• W2038173886 title "Linear Models for the Analysis of Longitudinal Studies" @default.
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• W2038173886 doi "https://doi.org/10.1080/00031305.1985.10479402" @default.
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