Exposure stratified case-cohort designs
type: Item
instance of: scholarly article
title: Exposure stratified case-cohort designs
zbMATH Open document ID: 0948.62069
DOI: 10.1023/A:1009661900674
author: Ørnulf Borgan
author: Bryan Langholz
author: Sven Ove Samuelsen
author: Larry Goldstein
author: Janice Pogoda
published in: Lifetime Data Analysis
publication date: 2000-10-30T00:00:00Z
review text: A variant of the case-cohort design is proposed for the situation in which a correlate of the exposure (or prognostic factor) of interest is available for all cohort members, and exposure information is to be collected for a case-cohort sample. The cohort is stratified according to the correlate, and the subcohort is selected by stratified random sampling. A number of possible methods for the analysis of such exposure stratified case-cohort samples are presented, some of their statistical properties developed, and approximate relative efficiency and optimal allocation to the strata discussed. The methods are compared to each other, and to randomly sampled case-cohort studies, in a limited computer simulation study. We found that all of the proposed analysis methods performed well and were more efficient than a randomly sampled case-cohort study.
Mathematics Subject Classification ID: 62N02
Mathematics Subject Classification ID: 62P10
Mathematics Subject Classification ID: 62E20
zbMATH DE Number: 1455577
zbMATH Keywords: case-cohort studies
zbMATH Keywords: Cox regression
zbMATH Keywords: optimal allocation
zbMATH Keywords: pseudo-likelihood
zbMATH Keywords: relative efficiency
zbMATH Keywords: score-unbiasedness
zbMATH Keywords: stratified sampling
zbMATH Keywords: survival analysis
zbMATH Keywords: unbiasedness
zbMATH Keywords: variance estimation
MaRDI profile type: Publication
Wikidata QID: Q52079932
full work available at URL: a:1009661900674
OpenAlex ID: W2113939655
description: scientific article; zbMATH DE number 1455577