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Main Title Linear Models for the Analysis of Longitudinal Studies.
Author Ware, J. H. ;
CORP Author Harvard School of Public Health, Boston, MA.;Health Effects Research Lab., Research Triangle Park, NC.;National Inst. of General Medical Sciences, Bethesda, MD.
Year Published 1985
Report Number EPA-R-811151 ;PHS-GM-29745; EPA/600/J-85/508;
Stock Number PB88-140421
Additional Subjects Numerical analysis ; Multivariate analysis ; Randomization ; Sampling ; Linear programming ; Statistical analysis ; Reprints ; Autoregressive processes ; Biomedical research ; Longitudinal studies
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NTIS  PB88-140421 Some EPA libraries have a fiche copy filed under the call number shown. 07/26/2022
Collation 9p
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. The 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. (Copyright (c) 1985 American Statistical Association.)
Supplementary Notes Pub. in the American Statistician, v39 n2 p95-101 May 85. Sponsored by Health Effects Research Lab., Research Triangle Park, NC., and National Inst. of General Medical Sciences, Bethesda, MD.
NTIS Title Notes Journal article.
Title Annotations Reprint: Linear Models for the Analysis of Longitudinal Studies.
PUB Date Free Form c1985
Category Codes 72F; 57
NTIS Prices PC A02/MF A01
Primary Description 600/11
Document Type NT
Cataloging Source NTIS/MT
Control Number 807117623
Origin NTIS
Type CAT