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Main Title Regression Methods for Data with Incomplete Covariates.
Author Whittemore, A. S. ; Grosser., S. ;
CORP Author Stanford Univ., CA. Dept. of Family, Community and Preventive Medicine.;Health Effects Research Lab., Research Triangle Park, NC.;National Institutes of Health, Bethesda, MD.;National Science Foundation, Washington, DC.;Alfred P. Sloan Foundation, New York.
Publisher c1986
Year Published 1986
Report Number EPA-R-813495-01 ;NIH-CA-23214; EPA/600/J-86/530;
Stock Number PB90-232158
Additional Subjects Epidemiology ; Regression analysis ; Statistical analysis ; Covariance ; Algorithms ; Reprints ; Chronic disease ; Maximum likelihood estimates
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NTIS  PB90-232158 Some EPA libraries have a fiche copy filed under the call number shown. 07/26/2022
Collation 18p
Abstract Modern statistical methods in chronic disease epidemiology allow simultaneous regression of disease status on several covariates. These methods permit examination of the effects of one covariate while controlling for those of others that may be causally related to the disease. However, they do not accommodate data in which one or more covariates are incomplete, e.g. missing or measured with error. The paper uses assumptions about the probability laws governing covariate incompleteness to obtain estimates of regression coefficients relating disease to the unobserved complete covariates. The estimates are obtained by maximizing the likelihood of the observed incomplete data via the EM algorithm.
Supplementary Notes Pub. in Modern Statistical Methods in Chronic Disease Epedemiology, p19-34 Oct 86. Sponsored in part by grant NIH-CA-34617. Sponsored by Health Effects Research Lab., Research Triangle Park, NC., National Institutes of Health, Bethesda, MD., National Science Foundation, Washington, DC., and Alfred P. Sloan Foundation, New York.
NTIS Title Notes Journal article.
Title Annotations Reprint: Regression Methods for Data with Incomplete Covariates.
Category Codes 57U; 72F
NTIS Prices PC A03/MF A01
Primary Description 600/10
Document Type NT
Cataloging Source NTIS/MT
Control Number 021125122
Origin NTIS
Type CAT