| Exposure stratified case-cohort designs. | |
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MedLine Citation:
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PMID: 10763560 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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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. |
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Authors:
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O Borgan; B Langholz; S O Samuelsen; L Goldstein; J Pogoda |
Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, P.H.S. |
Journal Detail:
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Title: Lifetime data analysis Volume: 6 ISSN: 1380-7870 ISO Abbreviation: Lifetime Data Anal Publication Date: 2000 Mar |
Date Detail:
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Created Date: 2000-05-23 Completed Date: 2000-05-23 Revised Date: 2007-11-14 |
Medline Journal Info:
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Nlm Unique ID: 9516348 Medline TA: Lifetime Data Anal Country: UNITED STATES |
Other Details:
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Languages: eng Pagination: 39-58 Citation Subset: IM |
Affiliation:
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Department of Mathematics, University of Oslo, Norway. borgan@math.uio.no |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Biometry Case-Control Studies* Cohort Studies* Humans Likelihood Functions Proportional Hazards Models Research Design Sampling Studies Survival Analysis |
| Grant Support | |
ID/Acronym/Agency:
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CA42949/CA/NCI NIH HHS |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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