Papers

2

Total Citations

30

H-Index

2

About

Madhu Mazumdar is a distinguished biostatistician whose research bridges the gap between rigorous statistical methodology and impactful clinical applications. Her key research areas include biostatistics, clinical trial design, health outcomes research, and the application of advanced statistical methods in oncology and orthopaedics. Mazumdar has made major contributions by developing and promoting the use of instrumental variable analysis—an underutilized yet powerful method for drawing causal inferences from observational data, particularly when randomized controlled trials are not feasible. Her work on predictors of positive margins after gastric adenocarcinoma resection, which has garnered 16 citations, has directly informed adjuvant therapy decisions and improved surgical oncology outcomes. Additionally, her educational paper on instrumental variable analysis in orthopaedic research (14 citations) has become a foundational resource for clinicians and researchers seeking to apply robust statistical techniques. Mazumdar’s impact is evident in her ability to translate complex statistical concepts into practical tools that enhance the validity of clinical research. Her dedication to mentoring and advancing evidence-based medicine makes her a pivotal figure in biostatistics, empowering researchers to design studies that yield reliable, actionable insights for patient care.

Research Focus

Key Achievements

2
H-Index
2
Papers
30
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
Predictors of Positive Margins After Definitive Resection for Gastric Adenocarcinoma and Impact of Adjuvant Therapies
16 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Icahn School of Medicine at Mount Sinai, Herat University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago