Literature DB >> 10854485

Multistage sampling for disease family registries.

K D Siegmund1, A S Whittemore, D C Thomas.   

Abstract

BACKGROUND: The objectives of a family-based disease registry range from characterizing measured genetic factors and gene-environment interaction effects to detecting novel susceptibility genes. Gathering complete information on exposure and disease status in all family members for a sample of affected subjects (probands) to address these diverse objectives would be prohibitively expensive.
METHODS: Multistage sampling can be used to design an efficient family-based disease registry. At each stage, the probands are classified on the basis of previously collected data, and a subsample is selected for more detailed observation. The design can be optimized to minimize the variance of any of the model parameter estimates, subject to a constraint on the total sample size.
RESULTS: We describe the basic statistical theory and its application to a four-stage sampling scheme proposed for the Cooperative Family Registry for Epidemiologic Studies of Colorectal Cancer at the University of Southern California.

Entities:  

Mesh:

Year:  1999        PMID: 10854485     DOI: 10.1093/oxfordjournals.jncimonographs.a024225

Source DB:  PubMed          Journal:  J Natl Cancer Inst Monogr        ISSN: 1052-6773


  3 in total

1.  AN EM COMPOSITE LIKELIHOOD APPROACH FOR MULTISTAGE SAMPLING OF FAMILY DATA.

Authors:  Y Choi; L Briollais
Journal:  Stat Sin       Date:  2011-01       Impact factor: 1.330

2.  On combining family and case-control studies.

Authors:  Ruth M Pfeiffer; David Pee; Maria T Landi
Journal:  Genet Epidemiol       Date:  2008-11       Impact factor: 2.135

3.  Genome-wide association scans for secondary traits using case-control samples.

Authors:  Genevieve M Monsees; Rulla M Tamimi; Peter Kraft
Journal:  Genet Epidemiol       Date:  2009-12       Impact factor: 2.135

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.