Haiqun Lin, MD, PhD


Division of Nursing Science


ACK 326

(973) 353-3843

Specialty: Biostatistics

Dr. Lin is a faculty Biostatistician. She engages in methodological research in Biostatistics suitable for Nursing Science and population health. Her expertise includes longitudinal and multilevel modeling, missing data and mediation analysis. She is recognized for her methodological contribution and publications in latent class model with random effects for longitudinal and time-to-event data. She is also interested in predictive analysis using machine learning algorithm.

Dr. Lin collaborates with investigators and practitioners in mental health, aging, health service, women’s health and cancer research. The goal is to identify factors that influence the delivery of health care for a diversified population. She has been a Principal Investigator and co-Investigator on multiple research grants funded by National Institutes of Health (NIH) and Agency for Healthcare Research and Quality (AHRQ).  She has served on study sections for National Institute of Mental Health (NIMH), National Institute on Aging (NIA), National Cancer Institute (NCI) and Department of Defense (DOD). She also has provided service for Center for Medicare and Medicaid Services (CMS).

Dr. Lin has peer-reviewed publications in Journal of American Statistical Association, Journal of Royal Statistical Society, Statistics in Medicine, Biometrics, Computational Statistics & Data Analysis, American Journal of Public Health, Journal of Nervous & Mental Disease, American Journal of Psychiatry, Journal of Child Psychiatry and Psychology, Health Service Research, Medical Care, Journal of Clinical Oncology, American Journal of Obstetrics & Gynecology, etc.

Dr. Lin obtained her Medical Degree from Peking University Health Science Center in China and Ph.D. in Biometry & Statistics from Cornell University in Ithaca, New York. Prior joining Rutgers University, she was a tenured faculty member with Yale School of Public Health. She has taught and mentored postgraduates, post-doctors, clinical fellows and junior faculty.