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- Title
Multiple imputation to correct for measurement error in admixture estimates in genetic structured association testing.
- Authors
Padilla, Miguel A; Divers, Jasmin; Vaughan, Laura K; Allison, David B; Tiwari, Hemant K
- Abstract
Structured association tests (SAT), like any statistical model, assumes that all variables are measured without error. Measurement error can bias parameter estimates and confound residual variance in linear models. It has been shown that admixture estimates can be contaminated with measurement error causing SAT models to suffer from the same afflictions. Multiple imputation (MI) is presented as a viable tool for correcting measurement error problems in SAT linear models with emphasis on correcting measurement error contaminated admixture estimates.
- Publication
Human heredity, 2009, Vol 68, Issue 1, p65
- ISSN
1423-0062
- Publication type
Journal Article
- DOI
10.1159/000210450