| 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 | 5080 | 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 | 1970 | 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 | 1571 | 1994 |
| Bayesian graphical models for discrete data D Madigan, J York International Statistical Review/Revue Internationale de Statistique, 215-232, 1995 | 1318 | 1995 |
| Large-scale Bayesian logistic regression for text categorization A Genkin, DD Lewis, D Madigan technometrics 49 (3), 291-304, 2007 | 874 | 2007 |
| 10 challenging problems in data mining research Q Yang, X Wu International Journal of Information Technology & Decision Making 5 (04 …, 2006 | 831 | 2006 |
| 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 | 567 | 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 | 521 | 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 | 520 | 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 | 508 | 2005 |
| 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 | 360 | 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 | 338 | 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 | 300 | 1997 |
| Experiments with random projections for machine learning D Fradkin, D Madigan Proceedings of the ninth ACM SIGKDD international conference on Knowledge …, 2003 | 288 | 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 | 274 | 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 | 265 | 2017 |
| Statistical inference and data mining C Glymour, D Madigan, D Pregibon, P Smyth Communications of the ACM 39 (11), 35-41, 1996 | 228 | 1996 |
| On the naive bayes model for text categorization S Eyheramendy, DD Lewis, D Madigan International workshop on artificial intelligence and statistics, 93-100, 2003 | 226 | 2003 |
| Alternative Markov properties for chain graphs SA Andersson, D Madigan, MD Perlman Scandinavian journal of statistics 28 (1), 33-85, 2001 | 226 | 2001 |
| Bayesian mixed-effects models for recommender systems MK Condliff, DD Lewis, D Madigan, C Posse ACM SIGIR 99, 23-30, 1999 | 213 | 1999 |
