James Dai

James Dai

 

 

 

 

 

 

Assistant Member, Biostatistics and Biomathematics Program, Vaccine and Infection Disease Division, Fred Hutchinson Cancer Research Center
Affiliate Assistant Professor of Biostatistics, University of Washington

CFAR Role:

Associate Director, Biometrics Core

Research Interests:

With a master degree in molecular biology and a PhD in Biostatistics, Dr Dai is interested in developing and disseminating statistical methods in HIV prevention and care, causal inference, and high-dimensional genomic data analysis.

Education:

Ph.D, Biostatistics, University of Washington, 2007.
M.S., Biostatistics, University of Minnesota, 2002.
M.S., Molecular Pathology, University of Pittsburgh, 2000.
M.D., Peking University Medical Center, 1998.

Selected Publications:

Kane R,Wall MM, Potthoff  S, Stromberg K, Dai Y,Meyer Z. The effect of alcohol treatment on medical use. Medical Care, 42(4),395{402, 2004.

Eberly LE, Neaton JD, Thomas AJ, and Dai Y. Screening and mortality in the MRFIT Clinical Trials. Journal of the Society for Clinical Trials, 1(2):148{161, 2004.

Polyak SJ, Sullivan DG, Austin MA, Dai JY, Shuhart MC, Lindsay KL, Bonkovsky HL, Di Bisceglie AM, Lee WM, Morishima C, Gretch DR; HALT-C Trial Group. Comparison of amplication enzymes for Hepatitis C Virus quasispecies analysis. Virology Journal, 2:41, 2005.

Wall MM, Dai Y, and Eberly LE. GEE estimation of a misspecifed time-varying covariate: an example with the effect of alcoholism treatment on medical utilization. Statistics in Medicine, 24(6): 925{939, 2005.

Dai JY, Ruczinski I, LeBlanc M, and Kooperberg C. Imputation methods to improve inference in SNP association studies. Genetic Epidemiology. 30: 690{702, 2006.

Storey JD, Dai JY, and Leek JT. The optimal discovery procedure for large-scale significance testing, with applications to comparative microarray experiments. Biostatistics. 8: 414-432, 2007.

Dai JY, LeBlanc M, and Kooperberg C. Semiparametric estimation exploiting covariate independence in two-phase randomized trials. Biometrics. 65:178-187, 2009.

Dai JY, LeBlanc M, Smith NL, Psaty B and Kooperberg C. SHARE: an adaptive algorithm to select the most informative set of SNPs for genetic association. Biostatistics. 10:680-693, 2009.

Kooperberg C, LeBlanc M, Dai JY and Rajapakse I. Structures and assumptions: strategies to harness gene x gene and gene x environment interactions in GWAS. Statistical Science. 24:472-488. 2009

Dai JY, DeFrances MC, Zou C, Johnson CJ, Zarnegar R. The Met protooncogene is a transcriptional target of NF kappaB: implications for cell survival. Journal of cellular biochemistry. 107: 1222-36, 2009.

Reid SE, Dai JY, Sichalwe B, Wang J, Sichalwe BN, Akpomiemie G, Cowan FM, Delany-Moretlwe S, Baeten, JM, Hughes JP, Wald A and Celum C. Pregnancy, contraceptive use, and HIV acquisition in HPTN 039: relevance for HIV prevention trials among African Women. Journal of Acquired Immune Deficiency Syndromes. 53(5):606-613. 2010.

Lumley T, Shaw P, and Dai JY. Connections between survey calibration estimators and semiparametric models for incomplete data. International Statistical Review. In press.

Huang Y, Ballinger DG, Dai JY, Peters U, Hinds DA, Cox DR, Beilarz E, Chlebowski RT, Rossouw JE, McTiernan A, Rohan T, Prentice RL. Genetic Variants in the MRPS30 Region and Postmenopausal Breast Cancer Risk. Genome Medicine. In press.

 

Links:

http://myprofile.cos.com/jydai

Contact

Biostatistics & Biomathematics Program
Vaccine and Infectious Diseases Division
Fred Hutchinson Cancer Research Center
1100 Fairview Ave N, M2-C200
P.O.Box 19024
Seattle, WA 98109-1024

(206) 667-6364
jdai at fhcrc.org