Kai Yu
Adjunct Professor
Department of Statistics
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Web Pagehttp://dceg.cancer.gov/about/staff-bios/yu-kai

Education
  • Ph.D. in Biostatistics,
  • University of Pittsburgh, 2000
Research Interests
  • Statistical methods for genetic association studies

  • Tree-based models and applications in genetic epidemiology studies

  • Statistical methods for studying chromosome meiosis process
Select Publications
  • Yu K, Gu C, Xiong CJ, An P, Province MA. (2005) "Global transmission/disequilibrium tests for haplotypes reconstructed from multiple genes" Genetic Epidemiology 29: 323-335
  • Yu K, Xu J, Rao DC, Province M (2005) "Using tree-based recursive partitioning methods to group haplotypes for improved power in association studies" Annals of Human Genetics 69: 577-589
  • Yu K, Zhang SL, Borecki I, Kraja A, Xiong C, Myers R, Province M (2005) "A haplotype similarity based transmission/disequilibrium test under founder heterogeneity" Annals of Human Genetics 69: 455-467
  • Xiong C, Yu K, Gao F, Yan Y, Zhang Z.(2005) "Power and sample size for clinical trials when efficacy is required in multiple endpoints: application to Alzheimer's disease treatment trials" Clinical Trials 2: 387-393
  • Lamb N, Yu K, Shaffer J, Feingold E, Sherman S (2004) "An association between maternal age and meiotic recombination for trisomy 21." American Journal of Human Genetics 76: 91-99
  • Yu K, Gu C, Province MA, Xiong CJ, Rao DC (2004) "Genetic association mapping under founder heterogeneity via weighted haplotype similarity analysis in candidate genes." Genetic Epidemiology 27: 182-191
  • Yu K, Martin RB, Whittemore AS (2004) "Classifying disease chromosomes arising from multiple founders, with application to fine-scale haplotype mapping." Genetic Epidemiology 27: 173-181
  • Yu K and Feingold E. (2002) "Methods for analyzing the spatial distribution of chiasmata during meiosis based on recombination data." Biometrics 58: 369-377
  • Yu K and Feingold E. (2001) "Estimating chiasmata frequency distributions from recombination data." Biometrics 57: 427-34