Exposure Stratified Case-Cohort Designs (original) (raw)

Abstract

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 and Affiliations

1. Department of Mathematics, University of Oslo, P. O. Box 1053 Blindern, N-0316, Oslo, Norway
   Ornulf Borgan & Sven Ove Samuelsen
2. Department of Preventive Medicine, University of Southern California, School of Medicine, 1540 Alcazar Street CHP-220, Los Angeles, California, 90089-9011, U.S.A
   Bryan Langholz
3. Department of Mathematics, University of Southern California, 1042 W. 36th Place, Los Angeles, California, 90089-1113, USA
   Larry Goldstein
4. Statology, 10355 Pine Cone Way, Truckee, California, 96161, USA
   Janice Pogoda

Authors

1. Ornulf Borgan
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2. Bryan Langholz
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3. Sven Ove Samuelsen
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4. Larry Goldstein
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5. Janice Pogoda
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Borgan, O., Langholz, B., Samuelsen, S.O. et al. Exposure Stratified Case-Cohort Designs.Lifetime Data Anal 6, 39–58 (2000). https://doi.org/10.1023/A:1009661900674

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• Issue Date: March 2000
• DOI: https://doi.org/10.1023/A:1009661900674