Madhu Mazumdar, PhD
- DIRECTOR, INSTITUTE FOR HEALTH CARE DELIVERY SCIENCE
- PROFESSOR | Population Health Science and Policy
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.
MA, University of Delhi
MS, University of Pittsburgh
PhD, Penn State University
Fellowship, Drexel University
Team Science Award
Methodology Areas: Meta-analysis, Comparative Effectiveness Research, Clinical Trial Design, Prognostic and Predictive modeling,
Clinical Research Areas: Oncology, Anesthesiology, Radiology, Surgery
Biostatistics Module, MS in Healthcare Delivery Science and Leadership, ISMMS
Clinical Trials Design Workshop: Organized by the Radiological Society of North America, a Clinical Research Training Institute Summer Workshop: Organized by the American Society of Hematology
- Overuse of Diagnostic Imaging at a Large Urban Hospital: A Retrospective Analysis
This retrospective study aims to provide guidance on the use of diagnostic imaging and the effectiveness of ACRSelect on reducing inappropriate use. It will do so by evaluating the objectives in the inpatient/Emergency Department (ED) setting and the ambulatory setting s...
- Overuse of Diagnostic Imaging at a Large Urban Hospital System: A Randomized Control Trial
The overall goal of this research is to reduce physician rates of inappropriate diagnostic imaging. To do this, we will study a decision support tool embedded in the order-entry system. Physicians will be randomized into two arms: those who see the ACRSelect screen upon orderi...
- Effect of Formulary Restrictions on IV Acetaminophen Utilization at Mount Sinai Hospital
The purpose of this study is to compare weekly and monthly utilization of numbers of IV APAP (acetaminophen) vials ordered before, during, and after the implementation of formulary restrictions at Mount Sinai Hospital. The weekly and monthly order count...
- Perioperative Management in Hepatic Resection: Comparative Effectiveness and Disparity Research
Perioperative complication rates after hepatic resection for primary and metastatic liver cancer are high (~20%), and are potentially mediated by perioperative interventions (e.g. type of anesthesia, method of fluid resuscitation, and type of pharmacologic intervention). Dispa...
- Use of Premier Perspective Database in Comparative Effectiveness Research
These studies are important because different treatments lead to varying patterns of complication and length of stay at hospital. All of these have consequences in patient care decision making and economic impacts to the person and the society. Claims-based data add additional...
- The Validity of Claims Data on the Use of Opioids
In this study we aim to assess the validity of one frequently used category of medications, opioids used as postoperative pain treatment, in a group of patients undergoing their surgery at Mount Sinai Hospital. We will compare data from Premier Perspective, a claims based data...
Poeran J, Rasul R, Suzuki S, Danninger T, Mazumdar M, Opperer M, Boettner F, Memtsoudis SG. Tranexamic acid use and postoperative outcomes in patients undergoing total hip or knee arthroplasty: a study of efficacy and safety.; BMJ (In Press).
Poeran J, Mazumdar M, Memtsoudis SG. Anesthesia, Outcomes, and Public Health: Changing Health Care While “Asleep”. Reg Anesth Pain Med 2014; 39(3): 192-194.
Memtsoudis SG, Besculides MC, Mazumdar M. Rude Awakening — The Perioperative Sleep Apnea Epidemic. New England Journal of Medicine 2013; 368(25): 2352-3.
Memtsoudis SG, Chiu YL, Sun X, Ramachandran SK, Kaw R, Fleischu P, Mazumdar M. The impact of sleep apnea on postoperative utilization of resources and adverse outcomes. Anesth Analg 2014; 118: 407-418.
Memtsoudis SG, Danninge T, Rasul R, Poeran J, Gerner P, Stundner O, Mariano ER, Mazumdar M. Inpatient falls after total knee arthroplasty: the role of anesthesia type and peripheral nerve blocks. Anesthesiology 2014; 120(3): 551-63.
Memtsoudis SG, Sun X, Chiu YL, Stundner O, Liu SS, Banerjee S, Mazumdar M, Sharrock NE. Perioperative comparative effectiveness of anesthetic technique in orthopedic patients.. Anesthesiology 2013; 118: 1046-1058.
Pumberger M, Chiu YL, Ma Y, Girardi FP, Mazumdar M, Memtsoudis SG. National in-hospital morbidity and mortality trends after lumbar fusion surgery between 1998 and 2008. J Bone Joint Surg Br 2012; 94(3): 359-64.
Motzer RJ, Murphy BA, Bacik J, Schwartz LH, Nanus DM, Mariani T, Loehrer P, Wilding G, Fairclough DL, Cella D, Mazumdar M. Phase III trial of interferon alfa-2a with or without 13-cis-retinoic acid for patients with advanced renal cell carcinoma. Journal of clinical oncology : official journal of the American Society of Clinical Oncology 2000; 18: 2972-2980.
Ma Y, Chu H, Mazumdar M. Meta-analysis of Proportions of Rare Events: A Comparison of Exact Likelihood Methods with Robust Variance Estimation. Communication in Statistics (In Press) 2014;.
Ma Y, Mazumdar M, Memtsoudis SG. Beyond repeated-measures analysis of variance: advanced statistical methods for the analysis of longitudinal data in anesthesia research. Reg Anesth Pain Med 2012; 37(1): 99-105.
Ma Y, Mazumdar M. Multivariate meta-analysis: a robust approach based on the theory of the U-statistic. Stat Med 2011; 30(24): 2911-29.
Mazumda M, Zhou KX, Tu D. Some design issues underlying strata-matched non-randomized comparative studies with survival outcome. Stat. in Med 2006; 25: 3949-3959.
Mazumdar M, Smith A, Debroy PP, Schwartz LH. A theoretical approach to choosing the minimum number of multiple tumors required for assessing treatment response. J Clin Epidemiol 2005; 58(2): 150-3.
Mazumdar M. Group sequential design for comparative diagnostic accuracy studies: Implications and guidelines for practitioners. Medical Decision Making 2004; 24(5): 525-533.
Bacik J, Mazumdar M, Murphy BA, Fairclough DA, Eremenco S, Mariani T, Motzer RJ, Cella D. The Functional Assessment of Cancer Therapy-BRM (FACT-BRM): A New Tool for the Assessment of Quality of Life in Patients Treated with Biologic Response Modifiers. Quality Life Res 2004; 13(1): 37-54.
Mazumdar M, Liu A. Group Sequential Design for comparative diagnostic accuracy studies. Stat in Med 2003; 2: 727-739.
Mazumda M, Fazzari M, Panageas KS. A standardization method to adjust for the effect of patient selection in phase II clinical trials. Stat in Med 2001; 20: 883-892.
Mazumdar M, Smith A, Tong WP, Motzer RJ. Calvert’s formula for dosing carboplatin: Overview and concerns of applicability in high-dose setting. J Natl Cancer Inst 2000; 92: 1434-1436.
Mazumdar M, Glassman JR. Categorizing a prognostic variable: Review of methods, code for easy implementation and applications to decision-making about cancer treatments. Stat in Med 2000; 19: 113-132.