| Bayesian model averaging: a tutorial (with comments by M. Clyde, David Draper and EI George, and a rejoinder by the authors JA Hoeting, D Madigan, AE Raftery, CT Volinsky Statistical science 14 (4), 382-417, 1999 | 5767 | 1999 |
| Bayesian model averaging for linear regression models AE Raftery, D Madigan, JA Hoeting Journal of the American Statistical Association 92 (437), 179-191, 1997 | 2224 | 1997 |
| Model selection and accounting for model uncertainty in graphical models using Occam's window D Madigan, AE Raftery Journal of the American Statistical Association 89 (428), 1535-1546, 1994 | 1696 | 1994 |
| Bayesian graphical models for discrete data D Madigan, J York International Statistical Review/Revue Internationale de Statistique, 215-232, 1995 | 1445 | 1995 |
| Large-scale Bayesian logistic regression for text categorization A Genkin, DD Lewis, D Madigan technometrics 49 (3), 291-304, 2007 | 989 | 2007 |
| Observational Health Data Sciences and Informatics (OHDSI): opportunities for observational researchers G Hripcsak, JD Duke, NH Shah, CG Reich, V Huser, MJ Schuemie, ... MEDINFO 2015: eHealth-enabled Health, 574-578, 2015 | 923 | 2015 |
| Interpretable classifiers using rules and bayesian analysis: Building a better stroke prediction model B Letham, C Rudin, TH McCormick, D Madigan | 786 | 2015 |
| A characterization of Markov equivalence classes for acyclic digraphs SA Andersson, D Madigan, MD Perlman The Annals of Statistics 25 (2), 505-541, 1997 | 600 | 1997 |
| Bayesian indoor positioning systems D Madigan, E Einahrawy, RP Martin, WH Ju, P Krishnan, ... Proceedings IEEE 24th Annual Joint Conference of the IEEE Computer and …, 2005 | 523 | 2005 |
| 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 … ML Berger, H Sox, RJ Willke, DL Brixner, HG Eichler, W Goettsch, ... Value in Health 20 (8), 1003-1008, 2017 | 457 | 2017 |
| Novel data‐mining methodologies for adverse drug event discovery and analysis R Harpaz, W DuMouchel, NH Shah, D Madigan, P Ryan, C Friedman Clinical Pharmacology & Therapeutics 91 (6), 1010-1021, 2012 | 399 | 2012 |
| Statistical themes and lessons for data mining C Glymour, D Madigan, D Pregibon, P Smyth Data mining and knowledge discovery 1, 11-28, 1997 | 369 | 1997 |
| Bayesian model averaging in proportional hazard models: assessing the risk of a stroke CT Volinsky, D Madigan, AE Raftery, RA Kronmal Journal of the Royal Statistical Society Series C: Applied Statistics 46 (4 …, 1997 | 316 | 1997 |
| The role of data mining in pharmacovigilance M Hauben, D Madigan, CM Gerrits, L Walsh, EP Van Puijenbroek Expert opinion on drug safety 4 (5), 929-948, 2005 | 311 | 2005 |
| Experiments with random projections for machine learning D Fradkin, D Madigan Proceedings of the ninth ACM SIGKDD international conference on Knowledge …, 2003 | 307 | 2003 |
| Characterizing treatment pathways at scale using the OHDSI network G Hripcsak, PB Ryan, JD Duke, NH Shah, RW Park, V Huser, MA Suchard, ... Proceedings of the National Academy of Sciences 113 (27), 7329-7336, 2016 | 301 | 2016 |
| On the naive bayes model for text categorization S Eyheramendy, DD Lewis, D Madigan International workshop on artificial intelligence and statistics, 93-100, 2003 | 253 | 2003 |
| Statistical inference and data mining C Glymour, D Madigan, D Pregibon, P Smyth Communications of the ACM 39 (11), 35-41, 1996 | 243 | 1996 |
| Alternative Markov properties for chain graphs SA Andersson, D Madigan, MD Perlman Scandinavian journal of statistics 28 (1), 33-85, 2001 | 242 | 2001 |
| Bayesian mixed-effects models for recommender systems MK Condliff, DD Lewis, D Madigan, C Posse ACM SIGIR 99, 23-30, 1999 | 233 | 1999 |
