W. DuMouchel

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Bayes Methods for Combining the Results of Cancer Studies in Humans and other Species

Jeffrey E. Harris, William H. Dumouchel, W. DuMouchel, 1983 .

Stable Distributions in Statistical Inference: 2. Information from Stably Distributed Samples

W. DuMouchel, 1975 .

Stable Distributions in Statistical Inference: 1. Symmetric Stable Distributions Compared to other Symmetric Long-Tailed Distributions

W. DuMouchel, 1973 .

A simple Bayesian modification of D-optimal designs to reduce dependence on an assumed model

W. DuMouchel, B. Jones, 1994 .

Early identification of adverse drug reactions from search log data

Pushpraj Shukla, Ryen W. White, Eric Horvitz, 2016, J. Biomed. Informatics.

Comment on: “Zoo or Savannah? Choice of Training Ground for Evidence-Based Pharmacovigilance”

N. Shah, W. DuMouchel, R. Harpaz, 2014, Drug Safety.

Performance of Pharmacovigilance Signal‐Detection Algorithms for the FDA Adverse Event Reporting System

N. Shah, W. DuMouchel, R. Harpaz, 2013, Clinical pharmacology and therapeutics.

Toward Enhanced Pharmacovigilance Using Patient-Generated Data on the Internet

E. Horvitz, N. Shah, W. DuMouchel, 2014, Clinical pharmacology and therapeutics.

A Comparison of the Empirical Performance of Methods for a Risk Identification System

D. Madigan, M. Suchard, W. DuMouchel, 2013, Drug Safety.

Computer Intrusion: Detecting Masquerades

A. Karr, Y. Vardi, W. DuMouchel, 2001 .

Squashing flat files flatter

Theodore Johnson, William DuMouchel, Corinna Cortes, 1999, KDD '99.

The New Jersey Data Reduction Report

Peter J. Haas, Christos Faloutsos, Kenneth A. Ross, 1997 .

Empirical bayes screening for multi-item associations

William DuMouchel, Daryl Pregibon, D. Pregibon, 2001, KDD '01.

Evaluating the impact of database heterogeneity on observational study results.

D. Madigan, M. Suchard, W. DuMouchel, 2013, American journal of epidemiology.

Estimating the Stable Index $\alpha$ in Order to Measure Tail Thickness: A Critique

W. DuMouchel, 1983 .

Novel Statistical Tools for Monitoring the Safety of Marketed Drugs

W. DuMouchel, N. Yuen, J. Almenoff, 2007, Clinical pharmacology and therapeutics.

Unlocking Clinical Data from Narrative Reports: A Study of Natural Language Processing

W. DuMouchel, G. Hripcsak, C. Friedman, 1995, Annals of Internal Medicine.

Working Paper Department of Economics Bayes and Empirical Bayes Methods for Combining Cancer Experiments in Man and Other Species

W. DuMouchel, J. Harris, 2011 .

Publication Bias in Meta-Analysis: A Bayesian Data-Augmentation Approach to Account for Issues Exempli(cid:12)ed in the Passive Smoking Debate

R. Tweedie, A. Dobson, G. Givens, 1997 .

Using Sample Survey Weights in Multiple Regression Analyses of Stratified Samples

W. DuMouchel, G. Duncan, 1983 .

Machine learning guided association of adverse drug reactions with in vitro target-based pharmacology

W. DuMouchel, L. Urban, J. Sutherland, 2019, bioRxiv.

On the Asymptotic Normality of the Maximum-Likelihood Estimate when Sampling from a Stable Distribution

W. DuMouchel, 1973 .

Machine learning guided association of adverse drug reactions with in vitro target-based pharmacology

W. DuMouchel, L. Urban, J. Sutherland, 2020, EBioMedicine.

Comparative Performance of Two Quantitative Safety Signalling Methods

W. DuMouchel, N. Yuen, J. Almenoff, 2006, Drug safety.

Regression-Adjusted GPS Algorithm ( RGPS )

W. DuMouchel, 2013 .

Reverse translation of adverse event reports paves the way for de-risking preclinical off-targets

W. DuMouchel, B. Shoichet, Eugen Lounkine, 2017, eLife.

Disproportionality analysis using empirical Bayes data mining: a tool for the evaluation of drug interactions in the post‐marketing setting

W. DuMouchel, J. Almenoff, D. Fram, 2003, Pharmacoepidemiology and drug safety.

Letter to the Editor—Re: Almenoff et al., ‘Disproportionality analysis using empirical Bayes data mining: a tool for the evaluation of drug interactions in the post‐marketing setting’, (PDS, 2003; 12(6); 517–521)

W. DuMouchel, J. Almenoff, D. Fram, 2004 .

Interpreting observational studies: why empirical calibration is needed to correct p-values

William DuMouchel, David Madigan, Martijn J Schuemie, 2013, Statistics in medicine.

Evaluation of Disproportionality Safety Signaling Applied to Healthcare Databases

William DuMouchel, David Madigan, Martijn J Schuemie, 2013, Drug Safety.

Signal detection methodologies to support effective safety management

William DuMouchel, David Fram, W. DuMouchel, 2007, Expert opinion on drug safety.

Simultaneous Confidence Intervals in Multiple Regression

William DuMouchel, W. DuMouchel, Thomas P. Lane, 1994 .

Bulletin of the Technical Committee on Data Engineering Special Issue on Data Reduction Techniques Announcements and Notices Editor-in-chief Tc Executive Committee Letter from the Editor-in-chief 1 Technical Committee Election This Issue Changing Editorial Staff Letter from the Special Issue Editor

Joseph M. Hellerstein, K. A. Ross, C. Faloutsos, 2022 .

Discussion: follow-up designs to resolve confounding in multifactor experiments

Bradley Jones, William DuMouchel, W. DuMouchel, 1996 .

Signaling COVID-19 Vaccine Adverse Events

Joseph M. Tonning, W. DuMouchel, R. Harpaz, 2022, Drug Safety.

A note on estimating the variance of the sample mean in stratified sampling

W. DuMouchel, Z. Govindarajulu, E. Rothman, 1973 .

A Meta-analysis of l,6 Randomized Controlled Trials to Evaluate Computer-based Clinical Reminder Systems for Preventive Care in the Ambulatory Setting

W. DuMouchel, S. Shea, Shea, 2000 .

Transplantation of embryonic dopamine neurons for severe Parkinson's disease.

J Q Trojanowski, S Fahn, W DuMouchel, 2001, The New England journal of medicine.

Bulletin of the Technical Committee on

Peter J. Haas, Christos Faloutsos, Kenneth A. Ross, 1998 .

Comment: Problems with Using Auxiliary Information to Correct for Omitted Variables when Estimating the Effect of Lead on IQ

William DuMouchel, Eva Petkova, Christine Waternaux, 1998 .

Data from "A Time-indexed Reference Standard of Adverse Drug Reactions"

Olivier Bodenreider, Ryen W. White, Eric Horvitz, 2014 .

Signaling COVID-19 Vaccine Adverse Events

Joseph M. Tonning, W. DuMouchel, R. Harpaz, 2022, Drug Safety.

P115 Software for exploration and modeling of meta-analyses

R. Tweedie, W. DuMouchel, S. Normand, 1997 .

Bayes Methods for Combining the Results of Cancer Studies in Humans and Other Species: Rejoinder

W. DuMouchel, J. Harris, 1983 .

Hierarchical Bayesian Linear Models for Assessing theEffect of Extreme Cold Weather on Schizophrenic Births

C. Waternaux, W. DuMouchel, 2018, Bayesian Biostatistics.

The Pareto optimality of an n-Company reinsurance treaty

W. DuMouchel, 1968 .

Multivariate Bayesian Logistic Regression for Analysis of Clinical Study Safety Issues

William DuMouchel, W. DuMouchel, 2012, 1210.0385.

Meta-analysis for dose-response models.

W. DuMouchel, W Dumouchel, 1995, Statistics in medicine.

Computer Intrusion Detection Based on Bayes Factors for Comparing Command Transition Probabilities

William DuMouchel, W. DuMouchel, 1999 .

A Fast Computer Intrusion Detection Algorithm Based on Hypothesis Testing of Command Transition Probabilities

William DuMouchel, Matthias Schonlau, W. DuMouchel, 1998, KDD.

A Comparison of Test Statistics for Computer Intrusion Detection Based on Principal Components Regre

William DuMouchel, Matthias Schonlau, W. DuMouchel, 1998 .

Contrast Media and Nephropathy: Findings From Systematic Analysis and Food and Drug Administration Reports of Adverse Effects

Richard Solomon, W. DuMouchel, R. Solomon, 2006, Investigative radiology.

Novel Data‐Mining Methodologies for Adverse Drug Event Discovery and Analysis

P Ryan, R Harpaz, W DuMouchel, 2012, Clinical pharmacology and therapeutics.

Data squashing: constructing summary data sets

William DuMouchel, W. DuMouchel, 2002 .

Evaluation of Medicaid managed care. Satisfaction, access, and use.

W. DuMouchel, S. Glied, J. Sisk, 1996, JAMA.

Bayesian Data Mining in Large Frequency Tables, with an Application to the FDA Spontaneous Reporting System

William DuMouchel, W. DuMouchel, 1999 .

The analysis of selection in experimental populations.

W. DuMouchel, W. Anderson, 1968, Genetics.

Likelihood-Based Data Squashing: A Modeling Approach to Instance Construction

Christian Posse, William DuMouchel, David Madigan, 2002, Data Mining and Knowledge Discovery.

SOME NEW DICHOTOMOUS REGRESSION METHODS

C. Waternaux, W. DuMouchel, 1983 .

The structure, design principles, and strategies of Mulreg

William DuMouchel, W. DuMouchel, 1990, Annals of Mathematics and Artificial Intelligence.

A time-indexed reference standard of adverse drug reactions

Olivier Bodenreider, Ryen W. White, William DuMouchel, 2014, Scientific Data.

Association of asthma therapy and Churg-Strauss syndrome: an analysis of postmarketing surveillance data.

Richard Beasley, William DuMouchel, David Fram, 2004, Clinical therapeutics.

Empirical Bayesian data mining for discovering patterns in post-marketing drug safety

William DuMouchel, David M. Fram, June S. Almenoff, 2003, KDD '03.

Combing signals from spontaneous reports and electronic health records for detection of adverse drug reactions

Carol Friedman, William DuMouchel, Hojjat Salmasian, 2013, J. Am. Medical Informatics Assoc..

Computer Intrusion: Detecting

Alan F. Karr, Masquerades Schonlau, William DuMouchel, 2001 .

Antipsychotics, glycemic disorders, and life-threatening diabetic events: a Bayesian data-mining analysis of the FDA adverse event reporting system (1968-2004).

William DuMouchel, David Fram, Krishnan Ramaswamy, 2008, Annals of clinical psychiatry : official journal of the American Academy of Clinical Psychiatrists.

A meta-analysis of 16 randomized controlled trials to evaluate computer-based clinical reminder systems for preventive care in the ambulatory setting.

William DuMouchel, Steven Shea, Lisa Bahamonde, 1996, Journal of the American Medical Informatics Association : JAMIA.

Computer-generated informational messages directed to physicians: effect on length of hospital stay.

P D Clayton, R V Sideli, W DuMouchel, 1995, Journal of the American Medical Informatics Association : JAMIA.

Introduction to Edwards, Lindman, and Savage (1963) Bayesian Statistical Inference for Psychological Research

W. DuMouchel, 1992 .

Integrating a robust option into a multiple regression computing environment

William Dumouchel, Fanny O'Brien, W. DuMouchel, 1992 .

Computer-modeling and Graphical Strategies for Meta-analysis

William DuMouchel, Sharon-Lise T. Normand, W. DuMouchel, 2000 .

Natural language processing in an operational clinical information system

George Hripcsak, Carol Friedman, Stephen B. Johnson, 1995, Natural Language Engineering.

A Bayesian methodology for scaling radiation studies from animals to man.

W DuMouchel, W. DuMouchel, P G Groër, 1989, Health physics.

Empirical bayes model to combine signals of adverse drug reactions

William DuMouchel, Nigam H. Shah, Paea LePendu, 2013, KDD.

Medical decision support: experience with implementing the Arden Syntax at the Columbia-Presbyterian Medical Center.

Stephen B. Johnson, G Hripcsak, J J Cimino, 1995, Proceedings. Symposium on Computer Applications in Medical Care.

Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining

Won Y. Kim, Ron Kohavi, W. DuMouchel, 2004, KDD.

Bulletin of the Technical Committee on Data Engineering Special Issue on Data Reduction Techniques Announcements and Notices Letter from the Editor-in-chief 1 Technical Committee Election Changing Editorial Staa Letter from the Special Issue Editor the New Jersey Data Reduction Report

David B. Lomet, K. A. Ross, C. Faloutsos, 2022 .

Adaptation of Bayesian Data Mining Algorithms to Longitudinal Claims Data: Coxib Safety as an Example

Jeffrey R Curtis, Meredith Kilgore, David Fram, 2008, Medical care.

The New Jersey Data Reduction Report

K. A. Ross, C. Faloutsos, P. Haas, 2022 .

Toward multimodal signal detection of adverse drug reactions

Olivier Bodenreider, Ryen W. White, Eric Horvitz, 2017, J. Biomed. Informatics.

KANO’S METHODS FOR UNDERSTANDING CUSTOMER-DEFINED QUALITY

C Berger, R Blauth, D Boger, 1993 .

Instance Construction via Likelihood-Based Data Squashing

Christian Posse, William DuMouchel, David Madigan, 2001 .