Asymptotic theory for nested case-control sampling in the Cox regression model
type: Item
instance of: scholarly article
title: Asymptotic theory for nested case-control sampling in the Cox regression model
zbMATH Open document ID: 0776.62024
author: Larry Goldstein
author: Bryan Langholz
published in: The Annals of Statistics
publication date: 1993-05-16T00:00:00Z
review text: Asymptotic results are given for Cox's regression model in the case of sampling of risk sets. It is shown that standard results naturally generalize to this situation under relatively weak conditions on the model.
Mathematics Subject Classification ID: 62F12
Mathematics Subject Classification ID: 62P10
Mathematics Subject Classification ID: 62G20
Mathematics Subject Classification ID: 62M99
zbMATH DE Number: 166845
zbMATH Keywords: nested case-control sampling
zbMATH Keywords: epidemiologic cohort studies
zbMATH Keywords: consistency
zbMATH Keywords: asymptotic normality
zbMATH Keywords: maximum partial likelihood estimator
zbMATH Keywords: proportional hazards model
zbMATH Keywords: asymptotic variance
zbMATH Keywords: asymptotic relative efficiencies
zbMATH Keywords: survival analysis
zbMATH Keywords: censoring
zbMATH Keywords: Cox's regression model
zbMATH Keywords: sampling of risk sets
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1214/aos/1176348895
OpenAlex ID: W1989576408
DOI: 10.1214/AOS/1176348895
description: scientific article; zbMATH DE number 166845