Publications:360

Madhu Mazumdar, PhD
About Me
Madhu Mazumdar, PhD is Director of the Institute for Healthcare Delivery Science at the Mount Sinai Health System and is a Professor of Biostatistics at the Center of Biostatistics, Department of Population Health Science and Policy. She also directs the Biostatistics Core of Tisch Cancer Institute.
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.
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
Position
Multi-Disciplinary Training Areas
Artificial Intelligence and Emerging Technologies in Medicine [AIET]
About Me
Madhu Mazumdar, PhD is Director of the Institute for Healthcare Delivery Science at the Mount Sinai Health System and is a Professor of Biostatistics at the Center of Biostatistics, Department of Population Health Science and Policy. She also directs the Biostatistics Core of Tisch Cancer Institute.
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.
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
Position
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
Meta-Analysis, Observational studies,
Locations
Publications
Selected Publications
- Light at night, melatonin levels and nurses working at night. A. Berkalieva, B. Plitnick, M. Mazumdar, M. G. Figueiro. Lighting Research and Technology
- Venetoclax in combination with hypomethylating agents in chronic myelomonocytic leukemia: a propensity score matched multicenter cohort study: MYELODYSPLASTIC NEOPLASM. Douglas Tremblay, Clifford Csizmar, Courtney D. DiNardo, Somedeb Ball, Noa Rippel, Danielle Hammond, Tapan M. Kadia, Farhad Ravandi, Kelly Chien, Grace Van Hyfte, Madhu Mazumdar, Antoine Saliba, Abhishek Mangaonkar, Terra Lasho, Aref Al-Kali, Marina Kremyanskaya, Jonathan Feld, Lewis R. Silverman, Rami Komrokji, John Mascarenhas, Eric Padron, Guillermo Garcia-Manero, David A. Sallman, Mrinal M. Patnaik, Guillermo Montalban-Bravo. Leukemia
- Does Stem Design Affect the Incidence of Periprosthetic Femoral Fractures in Arthroplasty for Femoral Neck Fractures? A Secondary Analysis of the HEALTH Trial. Panayiotis D. Megaloikonomos, Lauren Nowak, Michael Shehata, Sheila Sprague, Sofia Bzovsky, Laura M. Epure, Gianni De Petrillo, Camille Caron, George Laggis, Olga L. Huk, David J. Zukor, Mohit Bhandari, Emil H. Schemitsch, John Antoniou, Mohit Bhandari, Thomas A. Einhorn, Gordon H. Guyatt, Emil H. Schemitsch, Robert D. Zura, Sheila Sprague, Frede Frihagen, Ernesto Guerra-Farfán, Ydo V. Kleinlugtenbelt, Rudolf W. Poolman, Amar Rangan, Sofia Bzovsky, Diane Heels-Ansdell, Lehana Thabane, Stephen D. Walter, P. J. Devereaux, Mohit Bhandari, P. J. Devereaux, Thomas A. Einhorn, Frede Frihagen, Ernesto Guerra-Farfán, Kenneth J. Koval, Rudolf W. Poolman, Emil H. Schemitsch, Kevin Tetsworth, Lehana Thabane, Stephen D. Walter, Gordon H. Guyatt, Mohit Bhandari, Sheila Sprague, Paula McKay, Kim Madden, Sofia Bzovsky, Kerry Tai, Taryn Scott, Madhu Mazumdar. Journal of Arthroplasty