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Genetic Epidemiology|January 17, 2002
Should we consider gene x environment interaction in the hunt for quantitative trait loci?W J Gauderman, J L Morrison, K D SiegmundAmerican Journal of Epidemiology|April 17, 1999
Asymptotic bias and efficiency in case-control studies of candidate genes and gene-environment interactions: basic family designsJ S Witte, W J Gauderman, D C ThomasGenetic Epidemiology|January 1, 1993
A bivariate genetic analysis of HDL- and LDL-cholesterol incorporating measured covariates: a Gibbs sampling applicationW J Mack, W J Gauderman, D C ThomasJournal of the National Cancer Institute. Monographs|June 16, 2000
Family-based association studiesW J Gauderman, J S Witte, D C ThomasOphthalmology|March 11, 2000
The role of restricted motility in determining outcomes for vertical strabismus surgery in Graves' ophthalmologyP Prendiville, M Chopra, W J Gauderman, et al.Journal of Clinical Neuro-Ophthalmology|December 1, 1991
Pituitary tumor volume as a predictor of postoperative visual field recovery. Quantitative analysis using automated static perimetry and computed tomography morphometryH Hudson, C Rissell, W J Gauderman, et al.Genetic Epidemiology|January 1, 1993
Combined segregation and linkage analysis of late-onset Alzheimer's disease in Duke families using Gibbs samplingC Faucett, W J Gauderman, D Thomas, et al.Genetic Epidemiology|November 21, 2018
Using Bayes model averaging to leverage both gene main effects and G × E interactions to identify genomic regions in genome-wide association studiesLilit C Moss, William J Gauderman, Juan Pablo Lewinger, et al.Journal of the National Cancer Institute. Monographs|June 16, 2000
Study-design issues in the development of the University of Southern California Consortium's Colorectal Cancer Family RegistryR W Haile, K D Siegmund, W J Gauderman, et al.Genetic Epidemiology|January 1, 1997
Joint segregation and linkage analysis of a quantitative trait compared to separate analysesW J Gauderman, C L Faucett, J L Morrison, et al.Pageof 6