2026 David Madigan: Mathematics Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Mathematics	62	451	377	232	181	164	36645
Engineering and Technology	65	1479	1407	482	433	186	38587

Research.com Recognitions

2012 - Fellow of the American Association for the Advancement of Science (AAAS)
1999 - Fellow of the American Statistical Association (ASA)

Overview

David Madigan is affiliated with Northeastern University in the United States. Their research spans primarily the fields of medicine and mathematics, with a significant focus on statistics and probability within those domains.

Their recent scholarly work includes publications in well-known journals and venues such as the Journal of the American Medical Informatics Association, arXiv (Cornell University), Hypertension, JAMA, and JAMA Internal Medicine.

Notable recent papers include:

Association of Ticagrelor vs Clopidogrel With Net Adverse Clinical Events in Patients With Acute Coronary Syndrome Undergoing Percutaneous Coronary Intervention, 2020, JAMA
Comparative First-Line Effectiveness and Safety of ACE (Angiotensin-Converting Enzyme) Inhibitors and Angiotensin Receptor Blockers: A Multinational Cohort Study, 2021, Hypertension
Comparison of Cardiovascular and Safety Outcomes of Chlorthalidone vs Hydrochlorothiazide to Treat Hypertension, 2020, JAMA Internal Medicine
How Confident Are We About Observational Findings in Health Care: A Benchmark Study, 2020, Harvard Data Science Review
Principles of Large-scale Evidence Generation and Evaluation across a Network of Databases (LEGEND), 2020, Journal of the American Medical Informatics Association

Frequent co-authors who have collaborated extensively with David Madigan include:

Martijn J. Schuemie
Marc A. Suchard
George Hripcsak
Patrick Ryan
Seng Chan You

Their work covers subfields such as cardiology and cardiovascular medicine, economics and econometrics, internal medicine, and surgery, with a wider focus on advanced causal inference techniques and statistical methods in clinical trials.

Main topics in David Madigan's research include:

Advanced Causal Inference Techniques
Statistical Methods in Clinical Trials
Health Systems, Economic Evaluations, Quality of Life
Blood Pressure and Hypertension Studies
Venous Thromboembolism Diagnosis and Management
Pharmacogenetics and Drug Metabolism
Antiplatelet Therapy and Cardiovascular Diseases

Over the course of their career, David Madigan has been recognized by professional societies with honors such as Fellow of the American Association for the Advancement of Science (AAAS) awarded in 2012 and Fellow of the American Statistical Association (ASA) awarded in 1999.

Best Publications

Least angle regression

Bradley Efron;Trevor Hastie;Iain Johnstone;Robert Tibshirani

12266
Citations
Bayesian Model Averaging: A Tutorial

Jennifer A. Hoeting;David Madigan;Adrian E. Raftery;Chris T. Volinsky

5875
Citations
Bayesian Model Averaging for Linear Regression Models

Adrian E. Raftery;David Madigan;Jennifer A. Hoeting

2330
Citations
Model Selection and Accounting for Model Uncertainty in Graphical Models Using Occam's Window

David Madigan;Adrian E. Raftery

1744
Citations
Bayesian Graphical Models for Discrete Data

David Madigan;Jeremy York

1478
Citations
Observational Health Data Sciences and Informatics (OHDSI): Opportunities for Observational Researchers

George Hripcsak;Jon D. Duke;Nigam H. Shah;Christian G. Reich

1240
Citations
Large-Scale Bayesian Logistic Regression for Text Categorization

Alexander Genkin;David D Lewis;David Madigan

1049
Citations
Interpretable classifiers using rules and Bayesian analysis: Building a better stroke prediction model

Benjamin Letham;Cynthia Rudin;Tyler H. McCormick;David Madigan

877
Citations
A characterization of Markov equivalence classes for acyclic digraphs

Steen A. Andersson;David B. Madigan;Michael D. Perlman

603
Citations
Bayesian indoor positioning systems

D. Madigan;E. Einahrawy;R.P. Martin;W.-H. Ju

546
Citations
Good practices for real-world data studies of treatment and/or comparative effectiveness: Recommendations from the joint ISPOR-ISPE Special Task Force on real-world evidence in health care decision making

Marc L. Berger;Harold Sox;Richard J. Willke;Diana L. Brixner

507
Citations
Novel data-mining methodologies for adverse drug event discovery and analysis.

Rave Harpaz;William DuMouchel;William DuMouchel;Nigam H. Shah;David Madigan;David Madigan

448
Citations
Statistical Themes and Lessons for Data Mining

Clark Glymour;David Madigan;Daryl Pregibon;Padhraic Smyth

376
Citations
Comprehensive comparative effectiveness and safety of first-line antihypertensive drug classes: a systematic, multinational, large-scale analysis.

Marc A Suchard;Martijn J Schuemie;Martijn J Schuemie;Harlan M Krumholz;Seng Chan You

375
Citations
Characterizing treatment pathways at scale using the OHDSI network

George Hripcsak;George Hripcsak;Patrick B. Ryan;Jon D. Duke;Nigam H. Shah

371
Citations
Bayesian Model Averaging in Proportional Hazard Models: Assessing the Risk of a Stroke

Chris T. Volinsky;David Madigan;Adrian E. Raftery;Richard A. Kronmal

325
Citations
Experiments with random projections for machine learning

Dmitriy Fradkin;David Madigan

315
Citations
Interpreting observational studies: why empirical calibration is needed to correct p‐values

Martijn J. Schuemie;Patrick B. Ryan;William DuMouchel;William DuMouchel;Marc A. Suchard;Marc A. Suchard

250
Citations
Alternative Markov Properties for Chain Graphs

Steen A. Andersson;David Madigan;Michael D. Perlman

248
Citations
On the Naive Bayes Model for Text Categorization.

Susana Eyheramendy;David D. Lewis;David Madigan

247
Citations
Statistical inference and data mining

Clark Glymour;David Madigan;Daryl Pregibon;Padhraic Smyth

241
Citations
[Least Angle Regression]: Discussion

David B. Madigan;Greg Ridgeway

45
Citations

Frequent Co-Authors

Martijn J. Schuemie Janssen (Belgium)

George Hripcsak Columbia University

Marc A. Suchard University of California, Los Angeles

Cynthia Rudin Duke University

William DuMouchel Oracle (United States)

Adrian E. Raftery University of Washington

Michael D. Perlman University of Washington

Greg Ridgeway University of Pennsylvania

Harlan M. Krumholz Yale University

Padhraic Smyth University of California, Irvine

External Links

Google Scholar page

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