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An efficient design strategy for logistic regression using outcome- and covariate-dependent pooling of biospecimens prior to assay.
Lyles, Robert H; Mitchell, Emily M; Weinberg, Clarice R; Umbach, David M; Schisterman, Enrique F.
Affiliation
  • Lyles RH; Department of Biostatistics and Bioinformatics, The Rollins School of Public Health of Emory University, 1518 Clifton Rd. N.E., Mailstop 1518-002-3AA, Atlanta, Georgia 30322, U.S.A.. rlyles@sph.emory.edu.
  • Mitchell EM; Epidemiology Branch, Division of Intramural Population Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland 20892, U.S.A.
  • Weinberg CR; Biostatistics and Computational Biology Branch, MD A303, National Institute of Environmental Health Sciences, National Institutes of Health, P.O. Box 12233, Research Triangle Park, North Carolina 27709, U.S.A.
  • Umbach DM; Biostatistics and Computational Biology Branch, MD A303, National Institute of Environmental Health Sciences, National Institutes of Health, P.O. Box 12233, Research Triangle Park, North Carolina 27709, U.S.A.
  • Schisterman EF; Epidemiology Branch, Division of Intramural Population Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland 20892, U.S.A.
Biometrics ; 72(3): 965-75, 2016 09.
Article in En | MEDLINE | ID: mdl-26964741
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Biological Assay / Logistic Models Type of study: Etiology_studies / Prognostic_studies / Risk_factors_studies Language: En Journal: Biometrics Year: 2016 Type: Article Affiliation country: United States
Fulltext
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PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Biological Assay / Logistic Models Type of study: Etiology_studies / Prognostic_studies / Risk_factors_studies Language: En Journal: Biometrics Year: 2016 Type: Article Affiliation country: United States