
Accession Number : ADA191085
Title : Asymptotic Theory for Weighted Least Squares Estimators in Aalen's Additive Risk Model.
Descriptive Note : Technical rept.,
Corporate Author : FLORIDA STATE UNIV TALLAHASSEE DEPT OF STATISTICS
Personal Author(s) : McKeague, Ian W
PDF Url : ADA191085
Report Date : Nov 1987
Pagination or Media Count : 16
Abstract : Let h(t/Z sub i) be the conditional hazard function for the survival time of an individual sub i given the pdimensional covariate process Z sub i(t). This document inference for Aalen's additive risk model h(t/Z sub i)=Z sub i(t) alpha (t), where alpha is a pvector of unknown hazard functions. The theory of counting processes is used to obtain weak convergence results for weighted least squares estimators of the hazard functions and the cumulative hazard functions based on continuous data. Results for weighted least squares estimators based on grouped data are also described. Keywords: Regression models, Biostatistics.
Descriptors : *LEAST SQUARES METHOD, *ESTIMATES, BIOSTATISTICS, HAZARDS, MATHEMATICAL MODELS, REGRESSION ANALYSIS, COUNTING METHODS, THEORY, ASYMPTOTIC SERIES, SURVIVAL(GENERAL), TIME, WEAK CONVERGENCE
Subject Categories : Statistics and Probability
Distribution Statement : APPROVED FOR PUBLIC RELEASE