Division members engage in statistical methods development and application, research design and statistical computing for health science research. Division faculty are critical leaders on research teams uniting faculty from the Department of Preventive Medicine as well as the Feinberg School of Medicine and the university as a whole.
Northwestern University Data Analysis and Coordinating Center (NUDACC)
NUDACC partners with multidisciplinary teams in collaborative leadership of multicenter clinical research. Capabilities encompass study design, data collection tool development, data monitoring and curation, regulatory reporting and statistical analysis.
This core facility of the of the Robert H. Lurie Comprehensive Cancer Center of Northwestern University offers collaborative support and expertise to scientists in biostatistics, bioinformatics and clinical informatics.
The mission of the Division of Biostatistics is to advance the science of biostatistics and to advance biomedical research through world-class biostatistical collaboration. Learn more about major research initiatives within our division and the groups/studies with whom we collaborate.
The Division of Biostatistics hosts two seminar series. The DPM-Biostatistics Seminar Series that focuses on methodological and theoretical topics is held on Mondays from 3-4pm. The Applied Statistics Seminar Series that focuses on applied analytic and programming techniques is held on Tuesdays from 12-1pm. All seminars are held in the Stamler Conference Room (680 N. Lake Shore Dr., Suite 1400, Chicago, IL 60611) unless noted otherwise. For more information, please click on the speaker's name to add the event to your calendar via Plan-It Purple or email firstname.lastname@example.org.
Professor of Preventive Medicine (Biostatistics) and Obstetrics and Gynecology (Gynecologic Oncology)
Dr. Kocherginsky is a biostatistician with the primary research interest in clinical trials. She works in rehabilitation medicine, gynecologic oncology, rheumatology and anesthesiology, and collaborates with many investigators at the Shirley Ryan AbilityLab and Feinberg School of Medicine. She leads the Statistical and Data Management cores for two large clinical trials in spinal cord injury, and is a co-leader of the Biomedical Informatics and Statistics Core for a study of epigenomic biomarkers of HIV-Associated cancers in Nigeria.
Assistant Professor of Preventive Medicine (Biostatistics)
Lucia C. Petito, PhD is an Assistant Professor of Preventive Medicine (Biostatistics) at Northwestern’s Feinberg School of Medicine. Dr. Petito received her BS in Mathematics from the University of Rochester and her MA and PhD in Biostatistics from the University of California, Berkeley. She then completed a postdoctoral fellowship at the Program on Causal Inference at the Harvard T.H. Chan School of Public Health. Her research interests primarily focus on the application and development of statistical methods for questions arising from longitudinal data collected in experimental and observational settings, including novel causal inference methods, survival analysis, and longitudinal data analysis. Her collaborative research covers a wide range of topics, primarily centering around epidemiologic studies of cardiovascular health. She is affiliated with the Biostatistics Collaboration Center
Dr. Hui Zhang's statistical research interests include longitudinal categorical data with missingness, clinical trial design, and statistical analysis of neuroscience data. Prior to switching to biostatistics, he has also obtained extensive biomedical research experiences, including neuroscience and pharmacology.
Associate Professor of Preventive Medicine (Biostatistics)
My methodological research interests are in the areas of survival data and event history data analysis, design and analysis of clinical trials, longitudinal data analysis, and precision/personalized medicine. I have broad interests in collaborative work, including the areas of cardiovascular disease, peripheral artery disease, and organ transplantation research.