View Item 

Show simple item record

Efficient designs of gene–environment interaction studies: implications of Hardy–Weinberg equilibrium and gene–environment independence

dc.contributor.authorSchisterman, Enrique F.en_US
dc.contributor.authorAlbert, Paul S.en_US
dc.date.accessioned2012-10-02T17:20:26Z
dc.date.available2013-10-18T17:47:28Zen_US
dc.date.issued2012-09-28en_US
dc.identifier.citationSchisterman, Enrique F.; Albert, Paul S. (2012). "Efficient designs of gene–environment interaction studies: implications of Hardy–Weinberg equilibrium and gene–environment independence." Statistics in Medicine 31(22): 2516-2530. <http://hdl.handle.net/2027.42/93754>en_US
dc.identifier.issn0277-6715en_US
dc.identifier.issn1097-0258en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/93754
dc.publisherWiley Periodicals, Inc.en_US
dc.subject.otherHardy–Weinberg Equilibriumen_US
dc.subject.otherRetrospective Maximum Likelihooden_US
dc.subject.otherTwo‐Stage Designen_US
dc.subject.otherGene–Environment Interactionen_US
dc.subject.otherGene–Environment Independenceen_US
dc.titleEfficient designs of gene–environment interaction studies: implications of Hardy–Weinberg equilibrium and gene–environment independenceen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelStatistics and Numeric Dataen_US
dc.subject.hlbsecondlevelPublic Healthen_US
dc.subject.hlbsecondlevelMedicine (General)en_US
dc.subject.hlbtoplevelScienceen_US
dc.subject.hlbtoplevelHealth Sciencesen_US
dc.subject.hlbtoplevelSocial Sciencesen_US
dc.description.peerreviewedPeer Revieweden_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/93754/1/sim4460.pdf
dc.identifier.doi10.1002/sim.4460en_US
dc.identifier.sourceStatistics in Medicineen_US
dc.identifier.citedreferenceThomas D. Gene–environment‐wide association studies: emerging approaches. Nature Review Genetics 2010; 11: 259 – 272.en_US
dc.identifier.citedreferenceSatten GA, Kupper L. Inferences about exposure‐disease associations using probability‐of‐exposure information. Journal of the American Statistical Association 1993; 88: 200 – 208.en_US
dc.identifier.citedreferencePrentice RL, Pyke R. Logistic disease incidence models and case‐control studies. Biometrika 1979; 66: 403 – 411.en_US
dc.identifier.citedreferencePiegorsch W, Weinberg C, Taylor J. Non‐hierarchical logistic models and case‐only designs for assessing susceptibility in population‐based case‐control studies. Statistics in Medicine 1994 13: 153 – 162.en_US
dc.identifier.citedreferenceUmbach DM, Weinberg CR. Designing and analysing case‐control studies to exploit independence of genotype and exposure. Statistics in Medicine 1997 16: 1731 – 1743.en_US
dc.identifier.citedreferenceChatterjee N, Carroll RJ. Semiparametric maximum‐likelihood estimation exploiting gene–environment independence in case‐control studies. Biometrika 2005 92: 399 – 418.en_US
dc.identifier.citedreferenceMukherjee B, Ahn J, Gruber SB, et al. Tests for gene–environment interaction from case‐control data: a novel study of type I error, power, and designs. Genetic Epidemiology 2008; 32 ( 7 ): 615 – 626.en_US
dc.identifier.citedreferenceAlbert PS, Ratnasinghe D, Tangrea J, Wacholder S. Limitations of the case‐only design for identifying gene–environment interactions. American Journal of Epidemiology 2001; 154: 687 – 693.en_US
dc.identifier.citedreferenceChen J, Chatterjee N. Exploiting Hardy–Weinberg equilibrium for efficient screening of single SNP associations from case‐control studies. Human Heredity 2007; 63: 196 – 204.en_US
dc.identifier.citedreferenceSasieni PD. From genotype to genes: doubling the sample size. Biometrics 1997; 53: 1253 – 1261.en_US
dc.identifier.citedreferenceBreslow NE, Cain KC. Logistic regression for two‐stage case‐control data. Biometrika 1988; 75: 11 – 20.en_US
dc.identifier.citedreferenceBreslow NE, Chatterjee N. Design and analysis of two‐stage studies with binary outcome applied to Wilms tumor prognosis. Journal of the Royal Statistical Society: Series C (Applied Statistics) 1999; 48: 457 – 468.en_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


Files in this item

Name:
sim4460.pdf
Size:
605.3KB
Format:
PDF
View/Open

Show simple item record

Remediation of Harmful Language

The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.

Accessibility

If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.