Zhigang Li, Ph.D.
Assistant Professor of Data Science
Assistant Professor of Community and Family Medicine
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
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.
Title: Statistical methods for joint survival and longitudinal quality of life analysis in palliative care studies
Agency: Norris Cotton Cancer Center
Type: Pilot Project Grant
Clinical Cancer Review Committee, Norris Cotton Cancer Center
Editorial Board: Biodata Mining, Frontiers in epidemiology
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