| Bayesian model averaging: a tutorial JA Hoeting, D Madigan, AE Raftery, CT Volinsky Statistical science, 382-401, 1999 | 4864 | 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 | 1892 | 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 | 1505 | 1994 |
| Bayesian graphical models for discrete data D Madigan, J York International Statistical Review/Revue Internationale de Statistique, 215-232, 1995 | 1267 | 1995 |
| Large-scale Bayesian logistic regression for text categorization A Genkin, DD Lewis, D Madigan Technometrics 49 (3), 291-304, 2007 | 827 | 2007 |
| 10 challenging problems in data mining research Q Yang, X Wu International Journal of Information Technology & Decision Making 5 (04 …, 2006 | 778 | 2006 |
| 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 | 485 | 2005 |
| A characterization of Markov equivalence classes for acyclic digraphs SA Andersson, D Madigan, MD Perlman The Annals of Statistics 25 (2), 505-541, 1997 | 478 | 1997 |
| Observational Health Data Sciences and Informatics (OHDSI): opportunities for observational researchers G Hripcsak, JD Duke, NH Shah, CG Reich, V Huser, MJ Schuemie, ... Studies in health technology and informatics 216, 574, 2015 | 452 | 2015 |
| Interpretable classifiers using rules and bayesian analysis: Building a better stroke prediction model B Letham, C Rudin, TH McCormick, D Madigan The Annals of Applied Statistics 9 (3), 1350-1371, 2015 | 442 | 2015 |
| Statistical themes and lessons for data mining C Glymour, D Madigan, D Pregibon, P Smyth Data mining and knowledge discovery 1 (1), 11-28, 1997 | 352 | 1997 |
| 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 | 318 | 2012 |
| 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 …, 1997 | 285 | 1997 |
| Experiments with random projections for machine learning D Fradkin, D Madigan Proceedings of the ninth ACM SIGKDD international conference on Knowledge …, 2003 | 272 | 2003 |
| 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 | 261 | 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 | 227 | 2017 |
| Statistical inference and data mining C Glymour, D Madigan, D Pregibon, P Smyth Communications of the ACM 39 (11), 35-41, 1996 | 221 | 1996 |
| On the naive bayes model for text categorization S Eyheramendy, DD Lewis, D Madigan | 216 | 2003 |
| Alternative Markov properties for chain graphs SA Andersson, D Madigan, MD Perlman Scandinavian journal of statistics 28 (1), 33-85, 2001 | 215 | 2001 |
| Bayesian mixed-E ects models for recommender systems MK Condli, DD Lewis, D Madigan, C Posse ACM SIGIR 99, 1999 | 214 | 1999 |
