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David Madigan

Researcher Next ID · RN-022035

Researcher · Computer Science

Northeastern University

Boston, Bangladesh

Not currently recruitingFunding unknown
Works count
193
Citation count
17,632
H-index
54
i10-index
114

Research interests

Computer Science
Mathematics
Economics, Econometrics and Finance
Agricultural and Biological Sciences
Bayesian Modeling and Causal Inference
Statistical Methods in Clinical Trials
Advanced Causal Inference Techniques
Health Systems, Economic Evaluations, Quality of Life
Fermentation and Sensory Analysis

Publications

  • Comparative First-Line Effectiveness and Safety of ACE (Angiotensin-Converting Enzyme) Inhibitors and Angiotensin Receptor Blockers: A Multinational Cohort Study

    Hypertension · 2021 · 10.1161/hypertensionaha.120.16667

  • Comparison of Cardiovascular and Safety Outcomes of Chlorthalidone vs Hydrochlorothiazide to Treat Hypertension

    JAMA Internal Medicine · 2020 · 10.1001/jamainternmed.2019.7454

  • Association of Ticagrelor vs Clopidogrel With Net Adverse Clinical Events in Patients With Acute Coronary Syndrome Undergoing Percutaneous Coronary Intervention

    JAMA · 2020 · 10.1001/jama.2020.16167

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

    The Lancet · 2019 · 10.1016/s0140-6736(19)32317-7

  • Empirical confidence interval calibration for population-level effect estimation studies in observational healthcare data

    Proceedings of the National Academy of Sciences · 2018 · 10.1073/pnas.1708282114

  • 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

    Pharmacoepidemiology and Drug Safety · 2017 · 10.1002/pds.4297

  • 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

    Value in Health · 2017 · 10.1016/j.jval.2017.08.3019

  • Characterizing treatment pathways at scale using the OHDSI network

    Proceedings of the National Academy of Sciences · 2016 · 10.1073/pnas.1510502113

  • Birth month affects lifetime disease risk: a phenome-wide method

    Journal of the American Medical Informatics Association · 2015 · 10.1093/jamia/ocv046

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

    The Annals of Applied Statistics · 2015 · https://doi.org/10.1214/15-aoas848

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

    Statistics in Medicine · 2013 · 10.1002/sim.5925

  • Evaluating the Impact of Database Heterogeneity on Observational Study Results

    American Journal of Epidemiology · 2013 · 10.1093/aje/kwt010

  • Novel Data-Mining Methodologies for Adverse Drug Event Discovery and Analysis

    Clinical Pharmacology & Therapeutics · 2012 · 10.1038/clpt.2012.50

  • Large-Scale Bayesian Logistic Regression for Text Categorization

    Technometrics · 2007 · https://doi.org/10.1198/004017007000000245

  • Bayesian indoor positioning systems

    · 2005 · 10.1109/infcom.2005.1498348

  • Alternative Markov Properties for Chain Graphs

    Scandinavian Journal of Statistics · 2001 · 10.1111/1467-9469.00224

  • Bayesian model averaging: a tutorial (with comments by M. Clyde, David Draper and E. I. George, and a rejoinder by the authors

    Statistical Science · 1999 · https://doi.org/10.1214/ss/1009212519

  • Bayesian Model Averaging for Linear Regression Models

    Journal of the American Statistical Association · 1997 · 10.2307/2291462

  • A characterization of Markov equivalence classes for acyclic digraphs

    The Annals of Statistics · 1997 · 10.1214/aos/1031833662

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

    Journal of the Royal Statistical Society Series C (Applied Statistics) · 1997 · 10.1111/1467-9876.00082

  • Statistical Themes and Lessons for Data Mining

    Data Mining and Knowledge Discovery · 1997 · 10.1023/a:1009773905005

  • Statistical inference and data mining

    Communications of the ACM · 1996 · 10.1145/240455.240466

  • Statistical inference and data mining

    Communications of the ACM · 1996 · 10.1145/240455.240466

  • Bayesian Graphical Models for Discrete Data

    International Statistical Review · 1995 · https://doi.org/10.2307/1403615

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

    Journal of the American Statistical Association · 1994 · https://doi.org/10.1080/01621459.1994.10476894

Current projects

    No projects listed.