David Madigan

Columbia University - Department of Statistics

Mail Code 4403

New York, NY 10027

United States

SCHOLARLY PAPERS

4

DOWNLOADS

448

CITATIONS

2

Scholarly Papers (4)

1.

A Hierarchical Model for Association Rule Mining of Sequential Events: An Approach to Automated Medical Symptom Prediction

MIT Sloan Research Paper
Number of pages: 19 Posted: 08 Jan 2011 Last Revised: 30 Jan 2011
Tyler McCormick, Cynthia Rudin and David Madigan
Columbia University - Department of Statistics, Duke University - Pratt School of Engineering and Columbia University - Department of Statistics
Downloads 258 (80,769)

Abstract:

Hierarchical Bayesian Modeling, Association Rules, Medical Symptom Prediction

2.

A Learning Theory Framework for Association Rules and Sequential Events

Number of pages: 47 Posted: 21 Jun 2011
Duke University - Pratt School of Engineering, Massachusetts Institute of Technology (MIT), Sourcetone and Columbia University - Department of Statistics
Downloads 93 (188,942)

Abstract:

3.

Challenges and Opportunities in High-Dimensional Choice Data Analyses

Marketing Letters, Vol. 19, No. 3/4, Seventh Tri-Annual Choice Symposium (December 2008), pp. 201-213
Number of pages: 14 Posted: 24 Jun 2014
University of California, Davis, University of Maryland - Robert H. Smith School of Business, Marketing Department, Polimetrix Inc., University of California, Los Angeles (UCLA) - Anderson School of Management, University of Pennsylvania - Marketing Department, Rice University, IBM - Almaden Research Center, University of Michigan, Stephen M. Ross School of Business, Columbia University - Department of Statistics and Carnegie Mellon University - Tepper School of Business
Downloads 14 (412,298)
Citation 2

Abstract:

4.

A Systematic Statistical Approach to Evaluating Evidence from Observational Studies

Annual Review of Statistics and Its Application, Vol. 1, Issue 1, pp. 11-39, 2014
Posted: 07 Mar 2014
Columbia University - Department of Statistics, Foundation for the National Institutes of Health - Observational Medical Outcomes Partnership, Johnson & Johnson, Johnson & Johnson, Foundation for the National Institutes of Health - Observational Medical Outcomes Partnership, University of California, Los Angeles (UCLA) - David Geffen School of Medicine, Oracle Health Sciences, University of Florida - College of Pharmacy and Foundation for the National Institutes of Health - Observational Medical Outcomes Partnership

Abstract: