
Madhu Mazumdar, PhD
About Me
Dr. Mazumdar developed methodologies for detecting publication bias in meta-analysis; for adjusting selection bias in clinical trials; for allowing interim looks at data in clinical trials comparing diagnostic tests; for developing and validating quality of life questionnaire; and for estimating misclassification rate of responders when oncologic response criteria were changed. Her collaborative research resulted in personalized treatment regimen for various cancer types and orthopedic surgeries. Her work also changed guidelines for staging cancer and practice guidelines for use of anesthetics. She developed innovative interdisciplinary educational and research programs, in collaboration with various clinical departments that increased productivity through grantsmanship and augmented clinical revenue through improved care delivery. Working within inter-disciplinary teams, she has trained more than 50 biostatisticians, epidemiologists, and clinical researchers, many of whom are leading quantitative science units today.
Language
English
Position
DIRECTOR, INSTITUTE FOR HEALTH CARE DELIVERY SCIENCE, PROFESSOR | Population Health Science and Policy, PROFESSOR | Orthopedics
Multi-Disciplinary Training Areas
Artificial Intelligence and Emerging Technologies in Medicine [AIET]
Education
MA, University of Delhi
MS, University of Pittsburgh
PhD, Penn State University
Fellowship, Drexel University
Awards
2013
Fellow
American Statistical Association
2012
Team Science Award
Sponsored jointly by American Federation of Medical Research, Association for Clinical Research Training, Association for Patient Oriented Research, Society for Clinical and Translational Science
2008
Fellow
American College of Epidemiology
Research
Publications
Selected Publications
- Six essential leadership skills for statisticians and data scientists. Madhu Mazumdar, Amanda L. Golbeck. Significance
- Virtual Nursing Pilot in the Inpatient Setting: Qualitative Evaluation. Ksenia Gorbenko, Maria Bailon, Jordan Randall, James Viskochil, Clara Cualing, Patrick Healy, Madhu Mazumdar, Robert Freeman. JMIR Nursing
- Propensity score weighting analysis with complex survey data for estimating population-level treatment effects on survival: a simulation study. Lihua Li, Chen Yang, Wei Zhang, Yulei He, John R. Pleis, Lauren M. Rossen, Bian Liu, Morgan Earp, Madhu Mazumdar. Health Services and Outcomes Research Methodology
Industry Relationships
Physicians and scientists on the faculty of the Icahn School of Medicine at Mount Sinai often interact with pharmaceutical, device, biotechnology companies, and other outside entities to improve patient care, develop new therapies and achieve scientific breakthroughs. In order to promote an ethical and transparent environment for conducting research, providing clinical care and teaching, Mount Sinai requires that salaried faculty inform the School of their outside financial relationships.
Dr. Mazumdar has not yet completed reporting of Industry relationships.
Mount Sinai’s faculty policies relating to faculty collaboration with industry are posted on our website. Patients may wish to ask their physician about the activities they perform for companies.