| Literature DB >> 19258469 |
Sholom Wacholder, Melissa Rotunno.
Abstract
Investigators planning studies within cohorts have many options for choosing an efficient sampling design for genome-wide association and other molecular epidemiology studies. Consideration of person-year and proportional hazards analyses of full cohorts may add further insight into ramifications of different designs. Empirical evidence from genome-wide association studies can supplement intuition and simulations in comparing properties of various case-control designs within cohorts. Additional theoretical and empirical work, justification of sampling choice in publications, and consideration of context and scientific aims can improve designs and, thereby, increase the scientific value and cost effectiveness of future studies.Entities:
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Year: 2009 PMID: 19258469 PMCID: PMC2668974 DOI: 10.1158/1055-9965.EPI-08-1114
Source DB: PubMed Journal: Cancer Epidemiol Biomarkers Prev ISSN: 1055-9965 Impact factor: 4.254