Zhigang Li, PhD
Assistant Professor of Biomedical Data Science
Assistant Professor of Community and Family Medicine
Biomedical 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, 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 analyzing and designing experimental and observational studies involving correlated data using joint modeling of survival and longitudinal data, mixed models, GEE, Cox regression models, structural equation modeling, 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
Total cost: $48,000
Title: Design and Analysis of Palliative Care Trials Evaluating Early Interventions in palliative care studies
Total cost: $160,000
QBS120: Foundations of Biostatistics I, Geisel School of Medicine
CFM104: Intro to Biostatistics and Epidemiology, Geisel School of Medicine
Clinical Cancer Review Committee, Norris Cotton Cancer Center
Editorial Board: Biodata Mining, Frontiers in public health, Palliative Medicine & Care: Open Access
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
Bakitas MA, Tosteson TD, Li Z, Lyons KD, Hull JG, Li Zho, Dionne-Odom JN, Frost J, Dragnev KH, Hegel MT, Azuero A and Ahles TA (2015) Early Versus Delayed Initiation of Concurrent Palliative Oncology Care: Patient Outcomes in the ENABLE III Randomized Controlled Trial. J Clin Oncol 2015 May 1; 33(13):1438-45
Dionne-Odom JN, Azuero A, Lyons KD, Hull JG, Tosteson T, Li Z, Li Zho, Frost J, Dragnev KH, Akyar I, Hegel MT and Bakitas MA (2015) Benefits of Early Versus Delayed Palliative Care to Informal Family Caregivers of Patients With Advanced Cancer: Outcomes From the ENABLE III Randomized Controlled Trial. J Clin Oncol 2015 May 1; 33(13):1446-52
Li Z and McKeague IW (2013) Power and sample size calculations for generalized estimating equations via local asymptotics. Statistica Sinica 23 231-250
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.
Li Z, McKeague IW and Lumey LH (2014) Optimal Design Strategies for Sibling Studies with Binary Exposures. The International Journal of Biostatistics 10:185-96
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.
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.
Complete List of My Publications http://www.ncbi.nlm.nih.gov/sites/myncbi/zhigang.li.1/bibliography/42789737/public/?sort=date&direction=ascending.