Full Record Display for the EPA National Library Catalog

RECORD NUMBER: 14 OF 18

Main Title Regression Models for Cohort Mortality Studies.
Author Whittemore, A. 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.;SIAM Inst. for Mathematics and Society, Philadelphia, PA.;National Science Foundation, Washington, DC.
Publisher c1986
Year Published 1986
Report Number EPA/R-813495; EPA/600/J-86/526;
Stock Number PB90-232166
Additional Subjects Mortality ; Regression analysis ; Mathematical models ; Formulas(Mathematics) ; Reprints ; Cohort studies ; Occupational safety and health ; Health hazards ; Environmental exposure ; Survival analysis ; Proportional hazards models ; Cause of death
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
NTIS  PB90-232166 Some EPA libraries have a fiche copy filed under the call number shown. 07/26/2022
Collation 19p
Abstract Cohort studies evaluate suspect health hazards from occupational or environmental exposures by recording the facts and causes of deaths in the exposed group as they occur over an extended time period. The article reviews several methods for analyzing cohort mortality data and shows them to be special cases of a single procedure. The procedure represents death rates as the product of an age-specific baseline rate that applies in the absence of exposure, times a function of exposures. Maximum likelihood methods are used to estimate unknown regression parameters in the function of exposures. The log-likelihood kernel for the data is shown to be that of N independent Poisson variates, where N is the total number of person-units of mortality observation time in the study. The expected values of these variates depend on the exposures and regression parameters. The latter can be estimated using packaged software programs for Poisson regression on any microcomputer that supports ANSI Standard FORTRAN.
Supplementary Notes Pub. in Mathematics Model, v7 p1365-1373 Oct 86. Sponsored by Health Effects Research Lab., Research Triangle Park, NC., National Institutes of Health, Bethesda, MD., SIAM Inst. for Mathematics and Society, Philadelphia, PA., and National Science Foundation, Washington, DC.
NTIS Title Notes Journal article.
Title Annotations Reprint: Regression Models for Cohort Mortality Studies.
Category Codes 44G; 57U
NTIS Prices PC A03/MF A01
Primary Description 600/10
Document Type NT
Cataloging Source NTIS/MT
Control Number 022221132
Origin NTIS
Type CAT