Efficient designs of gene–environment interaction studies: implications of Hardy–Weinberg equilibrium and gene–environment independence
dc.contributor.author | Schisterman, Enrique F. | en_US |
dc.contributor.author | Albert, Paul S. | en_US |
dc.date.accessioned | 2012-10-02T17:20:26Z | |
dc.date.available | 2013-10-18T17:47:28Z | en_US |
dc.date.issued | 2012-09-28 | en_US |
dc.identifier.citation | Schisterman, 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.issn | 0277-6715 | en_US |
dc.identifier.issn | 1097-0258 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/93754 | |
dc.publisher | Wiley Periodicals, Inc. | en_US |
dc.subject.other | Hardy–Weinberg Equilibrium | en_US |
dc.subject.other | Retrospective Maximum Likelihood | en_US |
dc.subject.other | Two‐Stage Design | en_US |
dc.subject.other | Gene–Environment Interaction | en_US |
dc.subject.other | Gene–Environment Independence | en_US |
dc.title | Efficient designs of gene–environment interaction studies: implications of Hardy–Weinberg equilibrium and gene–environment independence | en_US |
dc.type | Article | en_US |
dc.rights.robots | IndexNoFollow | en_US |
dc.subject.hlbsecondlevel | Statistics and Numeric Data | en_US |
dc.subject.hlbsecondlevel | Public Health | en_US |
dc.subject.hlbsecondlevel | Medicine (General) | en_US |
dc.subject.hlbtoplevel | Science | en_US |
dc.subject.hlbtoplevel | Health Sciences | en_US |
dc.subject.hlbtoplevel | Social Sciences | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/93754/1/sim4460.pdf | |
dc.identifier.doi | 10.1002/sim.4460 | en_US |
dc.identifier.source | Statistics in Medicine | en_US |
dc.identifier.citedreference | Thomas D. Gene–environment‐wide association studies: emerging approaches. Nature Review Genetics 2010; 11: 259 – 272. | en_US |
dc.identifier.citedreference | Satten 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.citedreference | Prentice RL, Pyke R. Logistic disease incidence models and case‐control studies. Biometrika 1979; 66: 403 – 411. | en_US |
dc.identifier.citedreference | Piegorsch 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.citedreference | Umbach 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.citedreference | Chatterjee N, Carroll RJ. Semiparametric maximum‐likelihood estimation exploiting gene–environment independence in case‐control studies. Biometrika 2005 92: 399 – 418. | en_US |
dc.identifier.citedreference | Mukherjee 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.citedreference | Albert 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.citedreference | Chen 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.citedreference | Sasieni PD. From genotype to genes: doubling the sample size. Biometrics 1997; 53: 1253 – 1261. | en_US |
dc.identifier.citedreference | Breslow NE, Cain KC. Logistic regression for two‐stage case‐control data. Biometrika 1988; 75: 11 – 20. | en_US |
dc.identifier.citedreference | Breslow 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.owningcollname | Interdisciplinary and Peer-Reviewed |
Files in this item
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.