James Y Dai

Summary

Affiliation: Fred Hutchinson Cancer Research Center
Country: USA

Publications

  1. pmc Estimating the efficacy of preexposure prophylaxis for HIV prevention among participants with a threshold level of drug concentration
    James Y Dai
    Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
    Am J Epidemiol 177:256-63. 2013
  2. pmc A unified procedure for meta-analytic evaluation of surrogate end points in randomized clinical trials
    James Y Dai
    Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
    Biostatistics 13:609-24. 2012
  3. pmc Simultaneously testing for marginal genetic association and gene-environment interaction
    James Y Dai
    Public Health Science Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
    Am J Epidemiol 176:164-73. 2012
  4. pmc SHARE: an adaptive algorithm to select the most informative set of SNPs for candidate genetic association
    James Y Dai
    Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue N, M2 C200, Seattle, WA 98109, USA
    Biostatistics 10:680-93. 2009
  5. ncbi request reprint Imputation methods to improve inference in SNP association studies
    James Y Dai
    Department of Biostatistics, University of Washington, Seattle, Washington, USA
    Genet Epidemiol 30:690-702. 2006
  6. pmc A novel variational Bayes multiple locus Z-statistic for genome-wide association studies with Bayesian model averaging
    Benjamin A Logsdon
    Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, 98109, Seattle, WA 98195, USA
    Bioinformatics 28:1738-44. 2012
  7. pmc Case-only method for cause-specific hazards models with application to assessing differential vaccine efficacy by viral and host genetics
    James Y Dai
    Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
    Biostatistics 15:196-203. 2014
  8. pmc Semiparametric estimation exploiting covariate independence in two-phase randomized trials
    James Y Dai
    Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA
    Biometrics 65:178-87. 2009
  9. pmc Powerful cocktail methods for detecting genome-wide gene-environment interaction
    Li Hsu
    Biostatistics and Biomathematics Program, Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
    Genet Epidemiol 36:183-94. 2012
  10. pmc Genetic variants in the MRPS30 region and postmenopausal breast cancer risk
    Ying Huang
    Fred Hutchinson Cancer Research Center, Divisions of Public Health Sciences, and Vaccine and Infectious Diseases, 1100 Fairview Avenue North, Seattle, WA 98109 1024, USA
    Genome Med 3:42. 2011

Detail Information

Publications11

  1. pmc Estimating the efficacy of preexposure prophylaxis for HIV prevention among participants with a threshold level of drug concentration
    James Y Dai
    Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
    Am J Epidemiol 177:256-63. 2013
    ..024, 0.447)). In summary, the proposed inferential method provides an unbiased assessment of PrEP efficacy among drug compliers, thus adding to the primary intention-to-treat analysis and correlation analyses of drug concentration data...
  2. pmc A unified procedure for meta-analytic evaluation of surrogate end points in randomized clinical trials
    James Y Dai
    Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
    Biostatistics 13:609-24. 2012
    ..The proposed method is evaluated by simulations and applications to 2 clinical trials...
  3. pmc Simultaneously testing for marginal genetic association and gene-environment interaction
    James Y Dai
    Public Health Science Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
    Am J Epidemiol 176:164-73. 2012
    ..The use of the proposed joint test is illustrated through simulations and a genetic study (1993-2005) from the Women's Health Initiative...
  4. pmc SHARE: an adaptive algorithm to select the most informative set of SNPs for candidate genetic association
    James Y Dai
    Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue N, M2 C200, Seattle, WA 98109, USA
    Biostatistics 10:680-93. 2009
    ..Simulations and a data application show that our method has improved power over existing methodologies and that the results are informative in the search for disease-causal loci...
  5. ncbi request reprint Imputation methods to improve inference in SNP association studies
    James Y Dai
    Department of Biostatistics, University of Washington, Seattle, Washington, USA
    Genet Epidemiol 30:690-702. 2006
    ..The tree-based approach performs comparably well as haplotype-based approaches, but the former has a computational advantage. The WEM approach yields the smallest bias at a price of increased variance...
  6. pmc A novel variational Bayes multiple locus Z-statistic for genome-wide association studies with Bayesian model averaging
    Benjamin A Logsdon
    Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, 98109, Seattle, WA 98195, USA
    Bioinformatics 28:1738-44. 2012
    ....
  7. pmc Case-only method for cause-specific hazards models with application to assessing differential vaccine efficacy by viral and host genetics
    James Y Dai
    Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
    Biostatistics 15:196-203. 2014
    ..The method is used to reassess HIV genotype-specific vaccine efficacy in the RV144 trial, providing nearly identical results to standard Cox methods, and to assess if and how this vaccine efficacy depends on Fc-γ receptor genes. ..
  8. pmc Semiparametric estimation exploiting covariate independence in two-phase randomized trials
    James Y Dai
    Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA
    Biometrics 65:178-87. 2009
    ..Our results suggest exploiting the covariate independence in two-phase sampling increases the efficiency substantially, particularly for estimating treatment-biomarker interactions...
  9. pmc Powerful cocktail methods for detecting genome-wide gene-environment interaction
    Li Hsu
    Biostatistics and Biomathematics Program, Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
    Genet Epidemiol 36:183-94. 2012
    ..It also allows for an easy incorporation of new methods as they are developed. Our work provides a comprehensive and powerful tool for devising effective strategies for genome-wide detection of gene-environment interactions...
  10. pmc Genetic variants in the MRPS30 region and postmenopausal breast cancer risk
    Ying Huang
    Fred Hutchinson Cancer Research Center, Divisions of Public Health Sciences, and Vaccine and Infectious Diseases, 1100 Fairview Avenue North, Seattle, WA 98109 1024, USA
    Genome Med 3:42. 2011
    ..Genotype by environment interactions may contribute further to such explanation, and may help to refine the genomic regions of interest...
  11. ncbi request reprint The optimal discovery procedure for large-scale significance testing, with applications to comparative microarray experiments
    John D Storey
    Department of Biostatistics, University of Washington, Seattle, WA 98195, USA
    Biostatistics 8:414-32. 2007
    ..Our proposed microarray method is freely available to academic users in the open-source, point-and-click EDGE software package...