Michael D Swartz

Summary

Affiliation: The University of Texas
Country: USA

Publications

  1. pmc Joint linkage and imprinting analyses of GAW15 rheumatoid arthritis and gene expression data
    Xiaojun 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
  2. ncbi request reprint Model selection and Bayesian methods in statistical genetics: summary of group 11 contributions to Genetic Analysis Workshop 15
    Michael D Swartz
    Department of Epidemiology, University of Texas M D Anderson Cancer Center, Houston, TX, USA
    Genet Epidemiol 31:S96-102. 2007
  3. pmc The null distribution of stochastic search gene suggestion: a Bayesian approach to gene mapping
    Michael D Swartz
    Department of Epidemiology, University of Texas M, Anderson Cancer Center, Box 301439, Houston, Texas 77230 1439, USA
    BMC Proc 1:S113. 2007
  4. pmc Finding factors influencing risk: comparing Bayesian stochastic search and standard variable selection methods applied to logistic regression models of cases and controls
    Michael D Swartz
    Department of Epidemiology, Unit 1340, UTMD Anderson Cancer Center, Houston, TX 77230 1439, USA
    Stat Med 27:6158-74. 2008
  5. pmc Pooling dietary data using questionnaires with open-ended and predefined responses: implications for comparing mean intake or estimating odds ratios
    Michael 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
  6. ncbi request reprint The relative efficiency of penetrance estimators for sib pairs
    Michael D Swartz
    Department of Statistics, Rice University, Texas A and M University, College Station, Houston, TX, USA
    Hum Hered 59:61-6. 2005
  7. ncbi request reprint Stochastic search gene suggestion: a Bayesian hierarchical model for gene mapping
    Michael D Swartz
    Department of Statistics, Texas A and M University, 3143 TAMU, College Station, Texas 77843, USA
    Biometrics 62:495-503. 2006

Detail Information

Publications7

  1. pmc Joint linkage and imprinting analyses of GAW15 rheumatoid arthritis and gene expression data
    Xiaojun 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...
  2. ncbi request reprint Model selection and Bayesian methods in statistical genetics: summary of group 11 contributions to Genetic Analysis Workshop 15
    Michael 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...
  3. pmc The null distribution of stochastic search gene suggestion: a Bayesian approach to gene mapping
    Michael 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...
  4. pmc Finding factors influencing risk: comparing Bayesian stochastic search and standard variable selection methods applied to logistic regression models of cases and controls
    Michael 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...
  5. pmc Pooling dietary data using questionnaires with open-ended and predefined responses: implications for comparing mean intake or estimating odds ratios
    Michael 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...
  6. ncbi request reprint The relative efficiency of penetrance estimators for sib pairs
    Michael 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...
  7. ncbi request reprint Stochastic search gene suggestion: a Bayesian hierarchical model for gene mapping
    Michael 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/...

Research Grants2

  1. Bayesian Hierarchical Risk Models: Nutrition, Genes, & Environment Interactions
    Michael 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. ..