David Madigan
Impact in
- Statistics and Probability top 0.05%
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Statistical Methods in Clinical Trials
- Advanced Causal Inference Techniques
- Toxicology top 0.2%
- Pharmacovigilance and Adverse Drug Reactions
Papers in
-
- Statistical Methods in Clinical Trials 22
- Advanced Causal Inference Techniques 16
- Statistical Methods and Bayesian Inference 14
- Statistical Methods and Inference 12
- Toxicology 13
- Pharmacovigilance and Adverse Drug Reactions 13
- Co-authors
- Adrian E. RafteryJennifer A. HoetingChris VolinskyJeremy YorkPatrick RyanDenis AllardAlexander GenkinDavid Lewis
- Journals
- Journal of the American Society of Brewing Chemists (10 papers)Drug Safety (7 papers)Journal of the American Medical Informatics Association (4 papers)The Annals of Statistics (4 papers)The Annals of Applied Statistics (3 papers)
- Partner nations
- United StatesNetherlandsIreland
In The Last Decade
David Madigan
134 papers receiving 10.5k citations
Hit Papers
Peers
Comparison fields: 5 of 220
- Statistics and Probability 2.5k
- Toxicology 508
- Artificial Intelligence 3.2k
- Statistics, Probability and Uncertainty 572
- Management Science and Operations Research 809
Countries citing papers authored by David Madigan
This map shows the geographic impact of David Madigan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by David Madigan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Madigan more than expected).
Fields of papers citing papers by David Madigan
This network shows the impact of papers produced by David Madigan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by David Madigan. The network helps show where David Madigan may publish in the future.
Co-authors
The 25 scholars most cited alongside David Madigan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2021 | 104 | |
| 3 | 2021 | 19 | |
| 4 | 2018 | 85 | |
| 5 | 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 Hit paper breakdown → | 2017 | 327 |
| 6 | 2014 | 16 | |
| 7 | 2013 | 13 | |
| 8 | 2012 | 276 | |
| 9 | Sequential Event Prediction with Association Rules | 2011 | 29 |
| 10 | 2009 | 11 | |
| 11 | 2008 | 20 | |
| 12 | DIMACS AT THE TREC 2005 GENOMICS TRACK | 2004 | 4 |
| 13 | 2000 | 11 | |
| 14 | Boosting methodology for regression problems. | 1999 | 68 |
| 15 | Relaxing the local independence assumption for quantitative learning in acyclic directed graphical models through hierarchical partition models. | 1999 | 6 |
| 16 | Bayesian graphical models, intention-to-treat, and the rubin causal Model. | 1999 | 2 |
| 17 | Interpretable boosted naïve Bayes classification | 1998 | 47 |
| 18 | 1996 | 2 | |
| 19 | 1996 | 78 | |
| 20 | 1990 | 6 |
About David Madigan
David Madigan is a scholar working on Statistics and Probability, Toxicology, Artificial Intelligence, Statistics, Probability and Uncertainty and Signal Processing, having authored 139 papers that have together received 11.2k indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (27 papers), Statistical Methods in Clinical Trials (22 papers), Advanced Causal Inference Techniques (16 papers), Statistical Methods and Bayesian Inference (14 papers), Health Systems, Economic Evaluations, Quality of Life (13 papers), Pharmacovigilance and Adverse Drug Reactions (13 papers), Statistical Methods and Inference (12 papers) and Data Mining Algorithms and Applications (11 papers). The work is most often cited by research in Statistics and Probability (2.5k citations), Toxicology (508 citations), Artificial Intelligence (3.2k citations), Statistics, Probability and Uncertainty (572 citations) and Management Science and Operations Research (809 citations). David Madigan has collaborated with scholars based in United States, Netherlands and Ireland. Frequent co-authors include Adrian E. Raftery, Jennifer A. Hoeting, Chris Volinsky, Jeremy York, Patrick Ryan, Denis Allard, Alexander Genkin, David Lewis, Martijn J. Schuemie and Michael D. Perlman. Their work appears in journals such as Journal of the American Society of Brewing Chemists, Drug Safety, Journal of the American Medical Informatics Association, The Annals of Statistics and The Annals of Applied Statistics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.