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Zhigang Li, Ph.D.

Assistant Professor of Data Science
Assistant Professor of Community and Family Medicine

Data Science
Community and Family Medicine

Columbia University, Mailman School of Public Health, New York, NY
Ph.D. in Biostatistics, 2010

Nankai University, School of Mathematical Sciences, Tianjin, P. R. China
B.S. in Mathematics, 2001

Norris Cotton Cancer Center
Quantitative Biomedical Sciences


Contact Information:

Email: Zhigang.Li@dartmouth.edu

Professional Interests:

My main research interests lie in the field of developing statistical methods for designing experimental and observational studies involving correlated data using joint modeling approach, GEE, structural equation modeling, mixed models, etc.

Rotations and Thesis Projects:

Rotation student (Spring term 2013): Qian Yang

Grant Information:

Title: Statistical methods for joint survival and longitudinal quality of life analysis in palliative care studies
Role: PI
Agency: Norris Cotton Cancer Center
Type: Pilot Project Grant
Period: 2012-2014


Clinical Cancer Review Committee, Norris Cotton Cancer Center

Editorial Board: Biodata Mining, Frontiers in epidemiology

Selected Publications:


  • Li Z, Tosteson T and Bakitas M (2013) Joint Modeling Quality of Life and Survival Using a Terminal Decline Model in Palliative Care Studies. Statistics in Medicine 32 1394-406

  • Li Z and McKeague IW (2013) Power and sample size calculations for generalized estimating equations via local asymptotics. Statistica Sinica 23 231-250

  • Li Z, Wu R and Du Y (2007) The distribution of the first β point in the classical risk model with interest. Statistics & Probability Letters 77 873-880.

  • Dionne-Odom et al. (2013) Syphilis Treatment Response Among HIV-Discordant Couples in Zambia and Rwanda. Clinical Infectious Disease 56 1829-37

  • Wang S, Chanock S, Tang D, Li Z, Edwards SC, Jedrychowski W and Perera FP (2010) Gene-environment interactions on mental development in African American, Dominican, and Caucasian Mothers and Newborns. Annals of Human Genetics 74 46-56.

  • Cambron SC, McIntyre J, Guerin S, Li Z, and Pastel D (In press) Lumbar Facet Joint Synovial Cysts: Does T2 Signal Intensity Predict Outcomes Following Percutaneous Rupture? American Journal of Neuroradiology

  • Perera FP, Li Z, Whyatt R, Hoepner L, Wang S, Camann D and Rauh V (2009) Prenatal Airborne Polycyclic Aromatic Hydrocarbon Exposure and Child IQ at Age 5. Pediatrics 124 e195-e202.

  • O’Hara R, Gibbons F, Gerrard M, Li Z and Sargent J (2012) Greater exposure to sexual content in popular movies predicts earlier sexual debut and increased sexual risk taking. Psychological Science 23 984-93