Haitao Chu Ph.D. » Faculty – Biostatistics

Faculty | Adjunct Faculty | Emeritus Faculty | Graduate Faculty | Instructors

Haitao Chu Ph.D.

Associate Professor

School of Public HealthDivision of Biostatistics

Address Division of Biostatistics 420 Delaware St. SE Minneapolis MN 55455 United States Work Phone: 612-625-2138

Biography

Ph.D., 2003, Biostatistics, Emory University. Research topics include: Statistical methods on the design and analyses of continuous biomarker assay data; Latent class modeling for multiple diagnostic tests; Statistical methods for mismeasured and missing data.

  • M.D., 1995, Preventive Medicine, West China University of Medical Sciences, China
  • M.S., 2002, Biostatistics, Emory University
  • Ph.D., 2003, Biostatistics, Emory University

Expertise:

Bayesian Analysis, Biostatistics, Cancer, Causal Inference, Clinical Trials, Diagnostic Testing & Medical Imaging, Epidemiology, Infectious Disease: HIV / AIDS

Professional Experience:

  • 2010–present: Associate Professor, Division of Biostatistics, The University of Minnesota at Twin Cities
  • 2008–2010: Co-Director of Center for AIDS Research Biostatistics Core, UNC-Chapel Hill
  • 2007–2010: Research Associate Professor, Department of Biostatistics, UNC-Chapel Hill
  • 2003–2007: Assistant Professor, Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health
  • 1998–2003: Biostatistician, Emory Center of Outcomes Research, Emory University

Full CV

Research Interests:

Statistical methods on the design and analyses of continuous biomarker assay data; Latent class modeling for multiple diagnostic tests; Statistical methods for mismeasured and missing data; Statistical methods for correlated data; statistical methods in survival data analysis and epidemiological research. His application research interests focus on HIV/AIDS, cancer, cardiovascular disease and injury prevention.

Research Projects

Source attribution for human toxoplasmosis in communities from southern Chile
Principal Investigator: Claudia A. Munoz-Zanzi
Investigators: Haitao Chu
Funding Agency: Global Spotlight – University of Minnesota
A study to evaluate the accuracy of a diagnostic algorithm for detection of oocyst-specific antibodies and development of a risk assessment model for source attribution

Statistical Methods and Software for Meta-Analysis of Diagnostic Tests”
Principal Investigator: Haitao Chu
Funding Agency: U.S. Department of Health and Human Services Agency for Healthcare Research and Quality

Statistical Methods for Cancer Clinical Trials
Principal Investigator: Haitao Chu
Funding Agency: The Univ. of N. Carolina at Chapel Hill
Statistical Methods for Cancer Clinical Trials

Selected Publications:

  • Chu H, Chen S, Louis TA. Random Effects Models in a Meta-analysis of the Accuracy of Two Diagnostic Tests without a Gold Standard. Journal of the American Statistical Association 2009,Volume 104 (No. 486): 512-523. PMC2701906.
  • Chu H, Nie L, Cole SR, Poole C. Meta-analysis of Diagnostic Accuracy Studies Accounting for Disease Prevalence: Alternative Parameterizations and Model Selection, Statistics in Medicine, 2009; 28: 2384–2399.
  • Chu H, Cole SR, Wei Y, Ibrahim JG. Estimation and inference for case-control studies with multiple non-gold standard exposure assessments: with an occupational health application, Biostatistics, 2009; 10 (4): 591-602.
  • Chu H, Gange SJ, Li X, Hoover DR, Liu C, Chmiel JS, Jacobson LP. The effect of HAART on HIV RNA trajectory among treatment-naïve men and women: a segmental Bernoulli/Lognormal random effects model with left censoring, Epidemiology 2010, 21: S25-34.
  • Chu H, Zhou Y, Cole SR, Ibrahim JG. On the estimation of disease prevalence by latent class models for screening Studies using two binary screening tests with categorical disease status verified in test positives only, Statistics in Medicine, 2010, 29: 1206-1218.
  • Chu H, Guo H, Zhou Y. Bivariate Random Effects Meta-analysis of Diagnostic Studies Using Generalized Linear Mixed Models. Medical Decision Making 2010, 30: 499–508.
  • Chu H, Cole SR. The estimation of risk ratios in cohort studies with common outcomes: a Bayesian approach, Epidemiology 2010, 21(6): 855-62.
  • Chu H, Nie L, Cole SR. The Estimation of the Relative Excess Risk Due to Interaction: A Bayesian Approach, Epidemiology 2010, in press.