Michael D Swartz
Affiliation: The University of Texas
- Joint linkage and imprinting analyses of GAW15 rheumatoid arthritis and gene expression dataXiaojun Zhou
Department of Epidemiology, Unit 1340, The University of Texas M, Anderson Cancer Center, 1155 Hermann Pressler Boulevard, Houston, TX, 77030, USA
BMC Proc 1:S53. 2007..03 for imprinting, but increase in the LOD score did not meet the required threshold to reliably identify imprinting as the correct mode of inheritance in genome-wide linkage scans...
- Model selection and Bayesian methods in statistical genetics: summary of group 11 contributions to Genetic Analysis Workshop 15Michael D Swartz
Department of Epidemiology, University of Texas M D Anderson Cancer Center, Houston, TX, USA
Genet Epidemiol 31:S96-102. 2007..These group contributions exhibit the value of framing genetic problems in terms of model selection, and highlight the impact of variable selection for gene mapping...
- The null distribution of stochastic search gene suggestion: a Bayesian approach to gene mappingMichael D Swartz
Department of Epidemiology, University of Texas M, Anderson Cancer Center, Box 301439, Houston, Texas 77230 1439, USA
BMC Proc 1:S113. 2007..In order to assess the null distribution we used the simulated data with the "answers" known...
- Finding factors influencing risk: comparing Bayesian stochastic search and standard variable selection methods applied to logistic regression models of cases and controlsMichael D Swartz
Department of Epidemiology, Unit 1340, UTMD Anderson Cancer Center, Houston, TX 77230 1439, USA
Stat Med 27:6158-74. 2008..This study shows that the Bayesian methods offer a way to use prior information to both increase power and decrease false-positive results when selecting factors to model complex disease risk...
- Pooling dietary data using questionnaires with open-ended and predefined responses: implications for comparing mean intake or estimating odds ratiosMichael D Swartz
Department of Epidemiology, The University of Texas M D Anderson Cancer Center, Houston, TX 77030, USA
Am J Epidemiol 171:682-90. 2010..Therefore, if pooling data cannot be restricted to the same type of response, inferences should focus on odds ratio estimation to minimize bias...
- The relative efficiency of penetrance estimators for sib pairsMichael D Swartz
Department of Statistics, Rice University, Texas A and M University, College Station, Houston, TX, USA
Hum Hered 59:61-6. 2005..We then provide plots of the asymptotic relative efficiency, enabling researchers to easily determine regions where the MOD score or segregation alone performs with comparable efficiency relative to joint segregation and linkage...
- Stochastic search gene suggestion: a Bayesian hierarchical model for gene mappingMichael D Swartz
Department of Statistics, Texas A and M University, 3143 TAMU, College Station, Texas 77843, USA
Biometrics 62:495-503. 2006..Our software is available on the website http://www.epigenetic.org/Linkage/ssgs-public/...
- Bayesian Hierarchical Risk Models: Nutrition, Genes, & Environment InteractionsMichael Swartz; Fiscal Year: 2007..The Bayesian methodologies proposed consider sources of variation that frequentist models do not, and can provide more comprehensive risk models. The models and techniques developed can be applied to multiple cancers. ..