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Madigan, David - Department of Statistics, Columbia University
BAYESIAN STATISTICS 9, J. M. Bernardo, M. J. Bayarri, J. O. Berger, A. P. Dawid,
Bayesian Graphical Models for Discrete Data Author(s): David Madigan, Jeremy York, Denis Allard
Statistics and The War on Spam David Madigan
Epidemiology Commentary What can we really learn from observational studies? The need for empirical
Self-Controlled Case Series 1 The Self-Controlled Case Series: Recent
Dynamic Logistic Regression and Dynamic Model Averaging 1 Dynamic Logistic Regression and Dynamic Model Averaging for Binary
Large-Scale Bayesian Logistic Regression for Text Categorization
Disproportionality Methods for Pharmacovigilance in Longitudinal Observational Databases
[A Report on the Future of Statistics]: Comment Author(s): David Madigan and Werner Stuetzle
Technical Report BAYESIAN HIERARCHICAL RULE MODELING FOR
