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2020 – today
- 2021
[j28]Martijn J. Schuemie, Patrick B. Ryan, Nicole Pratt, Ruijun Chen
, Seng Chan You, Harlan M. Krumholz, David Madigan, George Hripcsak, Marc A. Suchard:
Erratum to: Large-Scale Evidence Generation and Evaluation across a Network of Databases (LEGEND): Assessing Validity Using Hypertension as a Case Study. J. Am. Medical Informatics Assoc. 28(1): 196 (2021)- 2020
- [j27]Martijn J. Schuemie, Patrick B. Ryan, Nicole Pratt, Ruijun Chen, Seng Chan You, Harlan M. Krumholz, David Madigan, George Hripcsak, Marc A. Suchard:
Large-scale evidence generation and evaluation across a network of databases (LEGEND): assessing validity using hypertension as a case study. J. Am. Medical Informatics Assoc. 27(8): 1268-1277 (2020) - [j26]Martijn J. Schuemie, Patrick B. Ryan, Nicole Pratt, Ruijun Chen, Seng Chan You, Harlan M. Krumholz, David Madigan, George Hripcsak, Marc A. Suchard:
Principles of Large-scale Evidence Generation and Evaluation across a Network of Databases (LEGEND). J. Am. Medical Informatics Assoc. 27(8): 1331-1337 (2020) - [e4]Jeannette M. Wing, David Madigan:
FODS '20: ACM-IMS Foundations of Data Science Conference, Virtual Event, USA, October 19-20, 2020. ACM 2020, ISBN 978-1-4503-8103-1 [contents] - [i4]Raaz Dwivedi, Yan Shuo Tan, Briton Park, Mian Wei, Kevin Horgan, David Madigan, Bin Yu:
Stable discovery of interpretable subgroups via calibration in causal studies. CoRR abs/2008.10109 (2020)
2010 – 2019
- 2016
- [j25]Ramin Moghaddass, Cynthia Rudin, David Madigan:
The Factorized Self-Controlled Case Series Method: An Approach for Estimating the Effects of Many Drugs on Many Outcomes. J. Mach. Learn. Res. 17: 185:1-185:24 (2016) - [j24]Trevor R. Shaddox, Patrick B. Ryan, Martijn J. Schuemie, David Madigan, Marc A. Suchard:
Hierarchical models for multiple, rare outcomes using massive observational healthcare databases. Stat. Anal. Data Min. 9(4): 260-268 (2016) - 2015
- [j23]Mary Regina Boland, Zach Shahn, David Madigan, George Hripcsak, Nicholas P. Tatonetti:
Birth month affects lifetime disease risk: a phenome-wide method. J. Am. Medical Informatics Assoc. 22(5): 1042-1053 (2015) - [j22]Zach Shahn, Patrick B. Ryan, David Madigan:
Predicting health outcomes from high-dimensional longitudinal health histories using relational random forests. Stat. Anal. Data Min. 8(2): 128-136 (2015) - [c29]George Hripcsak, Jon D. Duke, Nigam H. Shah, Christian G. Reich, Vojtech Huser, Martijn J. Schuemie, Marc A. Suchard, Rae Woong Park, Ian Chi Kei Wong, Peter R. Rijnbeek, Johan van der Lei, Nicole Pratt, G. Niklas Norén, Yu-Chuan Li, Paul E. Stang, David Madigan, Patrick B. Ryan:
Observational Health Data Sciences and Informatics (OHDSI): Opportunities for Observational Researchers. MedInfo 2015: 574-578 - [i3]Benjamin Letham, Cynthia Rudin, Tyler H. McCormick, David Madigan:
Interpretable classifiers using rules and Bayesian analysis: Building a better stroke prediction model. CoRR abs/1511.01644 (2015) - 2014
- [j21]David Madigan:
Editorial. Stat. Anal. Data Min. 7(6): 413 (2014) - 2013
- [j20]Cynthia Rudin, Benjamin Letham, David Madigan:
Learning theory analysis for association rules and sequential event prediction. J. Mach. Learn. Res. 14(1): 3441-3492 (2013) - [j19]Benjamin Letham, Cynthia Rudin, David Madigan:
Sequential event prediction. Mach. Learn. 93(2-3): 357-380 (2013) - [j18]Marc A. Suchard, Shawn E. Simpson, Ivan Zorych, Patrick B. Ryan, David Madigan:
Massive Parallelization of Serial Inference Algorithms for a Complex Generalized Linear Model. ACM Trans. Model. Comput. Simul. 23(1): 10:1-10:17 (2013) - [c28]Benjamin Letham, Cynthia Rudin, Tyler H. McCormick, David Madigan:
An Interpretable Stroke Prediction Model using Rules and Bayesian Analysis. AAAI (Late-Breaking Developments) 2013 - [i2]Steen A. Andersson, David Madigan, Michael D. Perlman:
An Alternative Markov Property for Chain Graphs. CoRR abs/1302.3553 (2013) - [i1]Steve Hanks, David Madigan, Jonathan Gavrin:
Probabilistic Temporal Reasoning with Endogenous Change. CoRR abs/1302.4954 (2013) - 2011
- [c27]Cynthia Rudin, Benjamin Letham, Ansaf Salleb-Aouissi, Eugene Kogan, David Madigan:
Sequential Event Prediction with Association Rules. COLT 2011: 615-634 - 2010
- [j17]Ola Caster, G. Niklas Norén, David Madigan, Andrew Bate:
Large-scale regression-based pattern discovery: The example of screening the WHO global drug safety database. Stat. Anal. Data Min. 3(4): 197-208 (2010)
2000 – 2009
- 2009
- [j16]Ronald K. Pearson, Manfred Hauben, David I. Goldsmith, A. Lawrence Gould, David Madigan, Donald J. O'Hara, Stephanie J. Reisinger, Alan Hochberg:
Influence of the MedDRA® hierarchy on pharmacovigilance data mining results. Int. J. Medical Informatics 78(12): 97-103 (2009) - 2008
- [j15]Suhrid Balakrishnan, David Madigan:
Algorithms for Sparse Linear Classifiers in the Massive Data Setting. J. Mach. Learn. Res. 9: 313-337 (2008) - 2007
- [j14]Alexander Genkin, David D. Lewis, David Madigan:
Large-Scale Bayesian Logistic Regression for Text Categorization. Technometrics 49(3): 291-304 (2007) - [c26]Suhrid Balakrishnan, David Madigan:
Finding Predictive Runs with LAPS. ICDM 2007: 415-420 - [c25]David Madigan, Sushil Mittal, Fred S. Roberts:
Sequential Decision Making Algorithms for Port of Entry Inspection: Overcoming Computational Challenges. ISI 2007: 1-7 - [e3]Daniel Dajun Zeng, Ivan Gotham, Ken Komatsu, Cecil Lynch, Mark Thurmond, David Madigan, Bill Lober, James Kvach, Hsinchun Chen:
Intelligence and Security Informatics: Biosurveillance, Second NSF Workshop, BioSurveillance 2007, New Brunswick, NJ, USA, May 22, 2007, Proceedings. Lecture Notes in Computer Science 4506, Springer 2007, ISBN 978-3-540-72607-4 [contents] - 2006
- [j13]David Madigan, Yehuda Vardi, Ishay Weissman:
Extreme value theory applied to document retrieval from large collections. Inf. Retr. 9(3): 273-294 (2006) - [c24]Suhrid Balakrishnan, David Madigan:
Decision Trees for Functional Variables. ICDM 2006: 798-802 - [c23]Saket Anand, David Madigan, Richard J. Mammone, Saumitr Pathak, Fred S. Roberts:
Experimental Analysis of Sequential Decision Making Algorithms for Port of Entry Inspection Procedures. ISI 2006: 319-330 - [c22]Aynur A. Dayanik, David D. Lewis, David Madigan, Vladimir Menkov, Alexander Genkin:
Constructing informative prior distributions from domain knowledge in text classification. SIGIR 2006: 493-500 - 2005
- [c21]David Madigan, E. Einahrawy, R. P. Martin, Wen-Hua Ju, Parameshwaran Krishnan, A. S. Krishnakumar:
Bayesian indoor positioning systems. INFOCOM 2005: 1217-1227 - [c20]Aynur A. Dayanik, Alexander Genkin, Paul B. Kantor, David D. Lewis, David Madigan:
DIMACS at the TREC 2005 Genomics Track. TREC 2005 - [r1]Steve Hanks, David Madigan:
Probabilistic Temporal Reasoning. Handbook of Temporal Reasoning in Artificial Intelligence 2005: 315-342 - 2004
- [c19]James Abello, Graham Cormode, Dmitriy Fradkin, David Madigan, Ofer Melnik, Ilya B. Muchnik:
Selected Data Mining Concepts. Discrete Methods in Epidemiology 2004: 1-40 - [c18]Aynur A. Dayanik, Dmitriy Fradkin, Alexander Genkin, Paul B. Kantor, David Madigan, David D. Lewis, Vladimir Menkov:
DIMACS at the TREC 2004 Genomics Track. TREC 2004 - 2003
- [j12]Greg Ridgeway, David Madigan:
A Sequential Monte Carlo Method for Bayesian Analysis of Massive Datasets. Data Min. Knowl. Discov. 7(3): 301-319 (2003) - [j11]Peter J. Dunbar, David Madigan, Lisa A. Grohskopf, Debra Revere, Jane Woodward, James Minstrell, Pamela A. Frick, Jane M. Simoni, Thomas M. Hooton:
Implementation Brief: A Two-way Messaging System to Enhance Antiretroviral Adherence. J. Am. Medical Informatics Assoc. 10(1): 11-15 (2003) - [c17]Susana Eyheramendy, David D. Lewis, David Madigan:
On the Naive Bayes Model for Text Categorization. AISTATS 2003: 93-100 - [c16]David Madigan, Yehuda Vardi, Ishay Weissman:
On Retrieval Properties of Samples of Large Collections. AISTATS 2003: 203-208 - [c15]Dmitriy Fradkin, David Madigan:
Experiments with random projections for machine learning. KDD 2003: 517-522 - 2002
- [j10]David Madigan, Nandini Raghavan, William DuMouchel, Martha Nason, Christian Posse, Greg Ridgeway:
Likelihood-Based Data Squashing: A Modeling Approach to Instance Construction. Data Min. Knowl. Discov. 6(2): 173-190 (2002) - [c14]Steven L. Tanimoto, Adam Carlson, Justin Husted, Earl B. Hunt, Josef Larsson, David Madigan, Jim Minstrell:
Text forum features for small group discussions with facet-based pedagogy. CSCL 2002: 554-555 - [c13]Greg Ridgeway, David Madigan:
Bayesian analysis of massive datasets via particle filters. KDD 2002: 5-13 - 2000
- [j9]Tapas Kanungo, Robert M. Haralick, Henry S. Baird, Werner Stuetzle, David Madigan:
A Statistical, Nonparametric Methodology for Document Degradation Model Validation. IEEE Trans. Pattern Anal. Mach. Intell. 22(11): 1209-1223 (2000) - [j8]Surajit Chaudhuri, David Madigan, Usama M. Fayyad:
KDD-99: The Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. SIGKDD Explor. 1(2): 49-51 (2000)
1990 – 1999
- 1999
- [j7]Greg Ridgeway, Thomas Richardson, David Madigan:
Discussion on the paper by Friedman and Fisher. Stat. Comput. 9(2): 150-152 (1999) - [c12]Daniela Golinelli, David Madigan, Guido Consonni:
Relaxing the local independence assumption for quantitative learning in acyclic directed graphical models through hierarchical partition models. AISTATS 1999 - [c11]David Madigan:
Bayesian graphical models, intention-to-treat, and the rubin causal Model. AISTATS 1999 - [c10]Greg Ridgeway, David Madigan, Thomas Richardson:
Boosting methodology for regression problems. AISTATS 1999 - [e2]Usama M. Fayyad, Surajit Chaudhuri, David Madigan:
Proceedings of the Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Diego, CA, USA, August 15-18, 1999. ACM 1999, ISBN 1-58113-143-7 [contents] - 1998
- [c9]Greg Ridgeway, David Madigan, Thomas Richardson, John O'Kane:
Interpretable Boosted Naïve Bayes Classification. KDD 1998: 101-104 - 1997
- [j6]Steen A. Andersson, David Madigan, Michael D. Perlman, Christopher M. Triggs:
A Graphical Characterization of Lattice Conditional Independence Models. Ann. Math. Artif. Intell. 21(1): 27-50 (1997) - [j5]Clark Glymour, David Madigan, Daryl Pregibon, Padhraic Smyth:
Statistical Themes and Lessons for Data Mining. Data Min. Knowl. Discov. 1(1): 11-28 (1997) - [c8]Michelle Keim, David D. Lewis, David Madigan:
Bayesian Information Retrieval: Preliminary Evaluation. AISTATS 1997: 303-318 - [c7]David Madigan, Padhraic Smyth:
Preface. AISTATS 1997: i-xiii - [e1]David Madigan, Padhraic Smyth:
Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics, AISTATS 1997, Fort Lauderdale, Florida, USA, January, 4-7, 1997. MLR Press 1997 [contents] - 1996
- [j4]Clark Glymour, David Madigan, Daryl Pregibon, Padhraic Smyth:
Statistical Inference and Data Mining. Commun. ACM 39(11): 35-41 (1996) - [c6]Andrew Schaffner, Edith A. Graf, Earl Hunt, David Madigan, Jim Minstrell, Martha Nason:
Benchmark Lessons and the World Wide Web: Tools for Teaching Statistics. ICLS 1996 - [c5]Steen A. Andersson, David Madigan, Michael D. Perlman:
An Alternative Markov Property for Chain Graphs. UAI 1996: 40-48 - 1995
- [j3]David Madigan:
Editorial: knowledge-based hypermedia. Int. J. Hum. Comput. Stud. 43(3): 279 (1995) - [j2]David Madigan, C. Richard Chapman, Jonathan Gavrin, Ole Villumsen, John Boose:
Repertory hypergrids for large-scale hypermedia linking. Int. J. Hum. Comput. Stud. 43(3): 465-481 (1995) - [c4]David Madigan, Russell G. Almond:
On Test Selection Strategies for Belief Networks. AISTATS 1995: 89-98 - [c3]Steve Hanks, David Madigan, Jonathan Gavrin:
Probabilistic Temporal Reasoning with Endogenous Change. UAI 1995: 245-254 - 1994
- [j1]David Madigan:
Graphical models in applied multivariate statistics, by J. Whittaker, John Wiley & Sons, New York, 1990, 448 pp. Price: $59.95. Networks 24(2): 125 (1994) - [c2]David Madigan, C. Richard Chapman, Jonathan Gavrin, Ole Villumsen, John Boose:
Repertory Hypergrids: An Application to Clinical Practice Guidelines. ECHT 1994: 117-125 - [c1]Tapas Kanungo, Robert M. Haralick, Henry S. Baird, Werner Stuetzle, David Madigan:
Document Degradation Models: Parameter Estimation and Model Validation. MVA 1994: 552-557
Coauthor Index
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last updated on 2024-09-13 00:33 CEST by the dblp team
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