Record Display for the EPA National Library Catalog

RECORD NUMBER: 1 OF 22

OLS Field Name OLS Field Data
Main Title Analyzing Repeated Measurements with Possibly Missing Observations by Modelling Marginal Distributions.
Author Wei, L. J. ; Stram., D. O. ;
CORP Author Michigan Univ., Ann Arbor. Dept. of Biostatistics. ;Radiation Effects Research Foundation, Hiroshima (Japan).;Health Effects Research Lab., Research Triangle Park, NC.
Publisher c1988
Year Published 1988
Report Number EPA-R-813495; EPA/600/J-88/523;
Stock Number PB90-232299
Additional Subjects Biostatistics ; Mathematical models ; Biomathematics ; Statistical analysis ; Statistical distributions ; Reprints ; Health statistics
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
NTIS  PB90-232299 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. 08/27/1990
Collation 12p
Abstract
Suppose that subjects are observed repeatedly over a common set of time points with possibly time-dependent covariates and possibly missing observations. At each time point, the authors model the marginal distribution of the response variable and the effect of the covariates on that distribution using a class of quasi-likelihood models. No parametric model of dependence of the repeated observations of the subject is assumed. For large samples, the quasi-likelihood estimates of the time-specific regression coefficients over the set of predetermined time points are shown to be approximately jointly normal. This, coupled with various inference procedures, provides a global picture about the effects of the covariates on the response variable over the entire study period. A lack-of-fit test for testing the adequacy of the assumed quasi-likelihood model is also provided. All the methods considered are illustrated with real-life examples. (Copyright (c) 1988 by John Wiley & Sons, Ltd.)