Contents
•	Patient Care
•	General OB/GYN
•	Female Pelvic Medicine and Reconstructive Surgery (Urogynecology)
•	Reproductive Endocrinology and Infertility
•	Maternal-Fetal Medicine (High-Risk Obstetrics)
•	Clinical Genetics
•	Gynecologic Oncology
•	Epidemiology and Biostatistics
•	Affiliated Hospitals

Epidemiology and Biostatistics

LOCATION:
Clinical Academic Building
125 Paterson Street
New Brunswick, New Jrsey 08901

Telephone: (732) 235-7940
Fax: (732) 235-6627

The Division of Epidemiology and Biostatistics in the Department of Obstetrics, Gynecology and Reproductive Sciences was formed in 1996. This Division is perhaps the only one of its kind within an OB/GYN department. It offers tremendous research and teaching opportunities in perinatal, reproductive epidemiology, and in biostatistics. The Division comprises of one full time member, Dr. Cande Ananth, and one other that holds a joint/secondary appointment (Dr. George Rhoads, UMDNJ-School of Public Health).

The Division has a long history of conducting research in perinatal epidemiology. Most of our research interest centers around population-based studies of adverse perinatal outcomes. More specifically, these include:

Perinatal Epidemiology and Outcomes-based Research

• Black-white disparities in adverse perinatal outcomes in the US, including preterm birth, fetal growth restriction, fetal and infant mortality.
• The role (both content and timing) of prenatal care on adverse perinatal outcomes.
• Provide recommendations on indication-specific "optimal" prenatal care in the US.
• Temporal trends and determinants in the incidence of preterm delivery, small for gestational age births, and fetal and neonatal mortality in singleton and twin births among US blacks and whites.
• The role of age, period and birth cohort effects on preterm delivery and small for gestational age births, stillbirths, and maternal smoking during pregnancy among US blacks and whites.
• Risk factor profiling of obstetric complications among singleton and twin births in the US.
• Gene-environment interactions, as well as familial aggregation of placental abruption, fetal growth restriction, and stillbirth, through family-based case-control studies.

Biostatistics

• Developing innovative statistical methodologies for analysis of studies on human reproduction.
• Likelihood-based approaches to simultaneous modeling of the marginal probability and the pairwise association structure of bivariate binary responses
  
  

  Cande V. Ananth, PHD, MPH Professor Director, Division of Epidemiology and Biostatistics Special Interests: Perinatal/reproductive epidemiology, and development and applications of innovative methods for analysis of data in human reproduction