David Madigan
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Irish and American statistician
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David Madiganmathematics Degrees
Mathematics
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Mathematics
David Madigan's Degrees
- Bachelors Mathematics Trinity College Dublin
- Masters Statistics Trinity College Dublin
- PhD Statistics Trinity College Dublin
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Why Is David Madigan Influential?
(Suggest an Edit or Addition)According to Wikipedia, David Bennett Madigan is an Irish–American statistician and academic. He is currently Provost and Senior Vice-President for Academic Affairs at Northeastern University. Previously he was Professor of Statistics at Columbia University. From 2013 to 2018 he was also the Executive Vice-President for Arts and Sciences and Dean of the Faculty of Arts and Sciences and from 2008 to 2013 he served as Chair of the Department of Statistics, both at Columbia University. He was Dean of Physical and Mathematical Sciences at Rutgers University , Director of the Institute of Biostatistics at Rutgers University , and Professor in the Department of Statistics at Rutgers University .
David Madigan's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Bayesian model averaging: a tutorial (with comments by M. Clyde, David Draper and E. I. George, and a rejoinder by the authors (1999) (3287)
- Bayesian Model Averaging: A Tutorial (2016) (2028)
- Bayesian Model Averaging for Linear Regression Models (1997) (1676)
- Model Selection and Accounting for Model Uncertainty in Graphical Models Using Occam's Window (1994) (1354)
- Bayesian Graphical Models for Discrete Data (1995) (1155)
- Large-Scale Bayesian Logistic Regression for Text Categorization (2007) (844)
- Observational Health Data Sciences and Informatics (OHDSI): Opportunities for Observational Researchers (2015) (745)
- Interpretable classifiers using rules and Bayesian analysis: Building a better stroke prediction model (2015) (621)
- A characterization of Markov equivalence classes for acyclic digraphs (1997) (498)
- Bayesian indoor positioning systems (2005) (422)
- [Least Angle Regression]: Discussion (2004) (372)
- Novel Data‐Mining Methodologies for Adverse Drug Event Discovery and Analysis (2012) (329)
- 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 health care decision making (2017) (301)
- Experiments with random projections for machine learning (2003) (254)
- Bayesian Model Averaging in Proportional Hazard Models: Assessing the Risk of a Stroke (1997) (249)
- Characterizing treatment pathways at scale using the OHDSI network (2016) (240)
- The role of data mining in pharmacovigilance (2005) (235)
- On the Naive Bayes Model for Text Categorization (2003) (206)
- Comprehensive comparative effectiveness and safety of first-line antihypertensive drug classes: a systematic, multinational, large-scale analysis (2019) (179)
- Alternative Markov Properties for Chain Graphs (2001) (176)
- Empirical assessment of methods for risk identification in healthcare data: results from the experiments of the Observational Medical Outcomes Partnership (2012) (173)
- Accounting for Model Uncertainty in Survival Analysis Improves Predictive Performance (1995) (170)
- Statistical inference and data mining (1996) (166)
- Interpreting observational studies: why empirical calibration is needed to correct p-values (2013) (161)
- Bayesian Mixed-Effects Models for Recommender Systems (1999) (148)
- A method for simultaneous variable selection and outlier identification in linear regression (1996) (145)
- Statistical Themes and Lessons for Data Mining (2004) (142)
- Evaluating the impact of database heterogeneity on observational study results. (2013) (139)
- When should case‐only designs be used for safety monitoring of medical products? (2012) (139)
- Bayesian model averaging and model selection for markov equivalence classes of acyclic digraphs (1996) (138)
- 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 Health Care Decision Making. (2017) (123)
- Correction to: ``Bayesian model averaging: a tutorial'' [Statist. Sci. 14 (1999), no. 4, 382--417; MR 2001a:62033] (2000) (116)
- Bayesian methods for estimation of the size of a closed population (1997) (114)
- Birth month affects lifetime disease risk: a phenome-wide method (2015) (111)
- Author Identification on the Large Scale (2005) (111)
- Disproportionality methods for pharmacovigilance in longitudinal observational databases (2013) (106)
- Boosting methodology for regression problems (1999) (106)
- Massive Parallelization of Serial Inference Algorithms for a Complex Generalized Linear Model (2012) (102)
- Interpretable Boosted Naïve Bayes Classification (1998) (95)
- Pooled analysis of rofecoxib placebo-controlled clinical trial data: lessons for postmarket pharmaceutical safety surveillance. (2009) (90)
- Issues in applied statistics for public health bioterrorism surveillance using multiple data streams: research needs (2007) (84)
- Probabilistic Temporal Reasoning (2005) (83)
- DISCUSSION ON THE MEETING ON THE GIBBS SAMPLER AND OTHER MARKOV CHAIN-MONTE CARLO METHODS (1993) (82)
- On the Markov Equivalence of Chain Graphs, Undirected Graphs, and Acyclic Digraphs (1997) (80)
- Empirical confidence interval calibration for population-level effect estimation studies in observational healthcare data (2018) (80)
- Association of Ticagrelor vs Clopidogrel With Net Adverse Clinical Events in Patients With Acute Coronary Syndrome Undergoing Percutaneous Coronary Intervention. (2020) (78)
- A Systematic Statistical Approach to Evaluating Evidence from Observational Studies (2014) (78)
- A Comparison of the Empirical Performance of Methods for a Risk Identification System (2013) (76)
- Dynamic Logistic Regression and Dynamic Model Averaging for Binary Classification (2012) (75)
- Eliciting prior information to enhance the predictive performance of Bayesian graphical models (1995) (74)
- Machine learning and data mining: strategies for hypothesis generation (2012) (74)
- A Sequential Monte Carlo Method for Bayesian Analysis of Massive Datasets (2003) (74)
- Likelihood-Based Data Squashing: A Modeling Approach to Instance Construction (2002) (72)
- Proceedings : KDD-99 : the Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August 15-18, 1999, San Diego, California, USA (1999) (72)
- Comparison of Cardiovascular and Safety Outcomes of Chlorthalidone vs Hydrochlorothiazide to Treat Hypertension (2020) (70)
- Algorithms for Sparse Linear Classifiers in the Massive Data Setting (2008) (70)
- Graphical Explanation in Belief Networks (1997) (69)
- An Alternative Markov Property for Chain Graphs (1996) (67)
- Influence of the MedDRA® hierarchy on pharmacovigilance data mining results (2009) (66)
- Constructing informative prior distributions from domain knowledge in text classification (2006) (65)
- Association Between Trauma Center Type and Mortality Among Injured Adolescent Patients. (2016) (65)
- Improving reproducibility by using high-throughput observational studies with empirical calibration (2018) (64)
- Discussion of Least Angle Regression (2003) (63)
- Bayesian Variable and Transformation Selection in Linear Regression (2002) (61)
- Strategies for Graphical Model Selection (1994) (60)
- Birth Defects Registered by Double Sampling: A Bayesian Approach Incorporating Covariates and Model Uncertainty (1995) (58)
- Bayesian Multinomial Logistic Regression for Author Identification (2005) (57)
- An Interpretable Stroke Prediction Model using Rules and Bayesian Analysis (2013) (56)
- Empirical Performance of a New User Cohort Method: Lessons for Developing a Risk Identification and Analysis System (2013) (55)
- Complement factor H 402H variant and reticular macular disease. (2011) (55)
- Sequential Event Prediction with Association Rules (2011) (54)
- Multiple Self‐Controlled Case Series for Large‐Scale Longitudinal Observational Databases (2013) (53)
- A Hierarchical Model for Association Rule Mining of Sequential Events: An Approach to Automated Medical Symptom Prediction (2011) (52)
- A one-pass sequential Monte Carlo method for Bayesian analysis of massive datasets (2006) (51)
- Challenges and opportunities in high-dimensional choice data analyses (2008) (49)
- MODEL SELECTION AND ACCOUNTING FOR MODEL UNCERTAINTY IN LINEAR REGRESSION MODELS (2007) (48)
- Bayesian Hierarchical Rule Modeling for Predicting Medical Conditions (2012) (46)
- Probabilistic Temporal Reasoning with Endogenous Change (1995) (46)
- Separation and Completeness Properties for Amp Chain Graph Markov Models (2001) (46)
- Optimizing the leveraging of real-world data to improve the development and use of medicines. (2015) (46)
- Sequential event prediction (2013) (46)
- An Evaluation of Three Signal-Detection Algorithms Using a Highly Inclusive Reference Event Database (2009) (45)
- Large‐scale regression‐based pattern discovery: The example of screening the WHO global drug safety database (2010) (44)
- Learning theory analysis for association rules and sequential event prediction (2013) (43)
- Robust empirical calibration of p‐values using observational data (2016) (41)
- Large-scale regression-based pattern discovery: The example of screening the WHO global drug safety database (2010) (40)
- Medication-Wide Association Studies (2013) (40)
- Empirical Performance of the Calibrated Self-Controlled Cohort Analysis Within Temporal Pattern Discovery: Lessons for Developing a Risk Identification and Analysis System (2013) (38)
- Empirical Performance of the Self-Controlled Case Series Design: Lessons for Developing a Risk Identification and Analysis System (2013) (36)
- High-dimensional, massive sample-size Cox proportional hazards regression for survival analysis. (2014) (36)
- Sequential Decision Making Algorithms for Port of Entry Inspection: Overcoming Computational Challenges (2007) (35)
- On the relation between conditional independence models determined by finite distributive lattices and by directed acyclic graphs (1995) (34)
- How Confident Are We about Observational Findings in Healthcare: A Benchmark Study. (2020) (32)
- Bayesian Methods in Pharmacovigilance (2010) (31)
- Under-reporting of cardiovascular events in the rofecoxib Alzheimer disease studies. (2012) (30)
- Empirical Performance of the Case–Control Method: Lessons for Developing a Risk Identification and Analysis System (2013) (29)
- On Test Selection Strategies for Belief Networks (1995) (29)
- Bayesian Data Mining for Health Surveillance (2005) (29)
- Capture-recapture estimation of bowhead whale population size using photo-identification data (2000) (29)
- Does design matter? Systematic evaluation of the impact of analytical choices on effect estimates in observational studies (2013) (28)
- Sparse Bayesian Classifiers for Text Categorization (2003) (28)
- Empirical Performance of a Self-Controlled Cohort Method: Lessons for Developing a Risk Identification and Analysis System (2013) (28)
- Evaluation of Disproportionality Safety Signaling Applied to Healthcare Databases (2013) (27)
- Comparative First-Line Effectiveness and Safety of ACE (Angiotensin-Converting Enzyme) Inhibitors and Angiotensin Receptor Blockers (2021) (25)
- Bayesian logistic injury severity score: a method for predicting mortality using international classification of disease-9 codes. (2008) (24)
- Decision Trees for Functional Variables (2006) (23)
- Experimental Analysis of Sequential Decision Making Algorithms for Port of Entry Inspection Procedures (2006) (23)
- Effective directed tests for models with ordered categorical data (2003) (23)
- Principles of Large-scale Evidence Generation and Evaluation across a Network of Databases (LEGEND) (2020) (23)
- Detecting adverse drug reactions following long-term exposure in longitudinal observational data: The exposure-adjusted self-controlled case series (2016) (22)
- Managing Data Quality for a Drug Safety Surveillance System (2013) (21)
- LOCATION ESTIMATION IN WIRELESS NETWORKS: A BAYESIAN APPROACH (2006) (20)
- Large‐scale parametric survival analysis (2013) (20)
- Bayesian Methods for Estimating the Size of a Closed Population (1992) (20)
- Bayesian methods for design and analysis of safety trials (2014) (20)
- Commentary: What Can We Really Learn From Observational Studies?: The Need for Empirical Assessment of Methodology for Active Drug Safety Surveillance and Comparative Effectiveness Research (2011) (19)
- Logistic Regression in Signal Detection: Another Piece Added to the Puzzle (2013) (19)
- Simultaneous Variable and Transformation Selection in Linear Regression (1995) (19)
- Large-scale evidence generation and evaluation across a network of databases (LEGEND): assessing validity using hypertension as a case study (2020) (19)
- Intelligence and Security Informatics: Biosurveillance, Second NSF Workshop, BioSurveillance 2007, New Brunswick, NJ, USA, May 22, 2007, Proceedings (2007) (18)
- Discussion: An estimate of the science-wise false discovery rate and application to the top medical literature. (2014) (18)
- A graphical characterization of lattice conditional independence models (1997) (18)
- Discussion of "Least angle regression" by Efron et al (2004) (18)
- Empirical Performance of LGPS and LEOPARD: Lessons for Developing a Risk Identification and Analysis System (2013) (17)
- Similarity-Based Modeling Applied to Signal Detection in Pharmacovigilance (2014) (17)
- Persistence of cardiovascular risk after rofecoxib discontinuation. (2010) (17)
- Priors on the Variance in Sparse Bayesian Learning; the demi-Bayesian Lasso (2008) (16)
- DIMACS at the TREC 2004 Genomics Track (2004) (16)
- Causal Inference for Meta-Analysis and Multi-Level Data Structures, with Application to Randomized Studies of Vioxx (2017) (16)
- ABayesian Model Averaging in Proportional Hazard Models: Assessing Stroke Risk (1996) (16)
- The impact of injury coding schemes on predicting hospital mortality after pediatric injury. (2009) (15)
- Drawing Reproducible Conclusions from Observational Clinical Data with OHDSI (2021) (14)
- Detection of Spironolactone-Associated Hyperkalaemia Following the Randomized Aldactone Evaluation Study (RALES) (2007) (14)
- Latent Class Mixture Models of Treatment Effect Heterogeneity (2017) (14)
- Efficient sequential decision‐making algorithms for container inspection operations (2011) (14)
- Bayesian analysis of massive datasets via particle filters (2002) (14)
- Generalization of boosting algorithms and applications of bayesian inference for massive datasets (1999) (13)
- Comparative safety and effectiveness of alendronate versus raloxifene in women with osteoporosis (2020) (13)
- Stable Discovery of Interpretable Subgroups via Calibration in Causal Studies (2020) (12)
- Statistical inference and data mining : Data mining and knowledge discovery in databases (1996) (11)
- Streamlining cardiovascular clinical trials to improve efficiency and generalisability (2017) (11)
- Enhancing the Predictive Performance of Bayesian Graphical Models (2007) (10)
- Proceedings of the Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Diego, CA, USA, August 15-18, 1999 (1999) (9)
- Predicting health outcomes from high‐dimensional longitudinal health histories using relational random forests (2015) (9)
- Learning From Epidemiology: Interpreting Observational Database Studies for the Effects of Medical Products (2013) (8)
- Finding Predictive Runs with LAPS (2007) (8)
- Bayesian hierarchical vector autoregressive models for patient-level predictive modeling (2018) (8)
- The Factorized Self-Controlled Case Series Method: An Approach for Estimating the Effects of Many Drugs on Many Outcomes (2016) (8)
- Relaxing the local independence assumption for quantitative learning in acyclic directed graphical models through hierarchical partition models (1999) (7)
- Hierarchical models for multiple, rare outcomes using massive observational healthcare databases (2016) (7)
- Comprehensive Comparative Effectiveness and Safety of First-Line β-Blocker Monotherapy in Hypertensive Patients (2021) (7)
- Drospirenone-containing oral contraceptives and venous thromboembolism: an analysis of the FAERS database (2018) (7)
- Sustained Cognitive and Economic Benefits of Resistance Training Among Community- Dwelling Senior Women: A 1-Year Follow-up Study of the Brain Power Study (2010) (7)
- DIMACS at the TREC 2005 Genomics Track (2005) (7)
- A Note on Equivalence Classes of Directed Acyclic Independence Graphs (1993) (6)
- A systematic approach to improving the reliability and scale of evidence from health care data (2018) (6)
- Large-Scale Regression-Based Pattern Discovery in International Adverse Drug Reaction Surveillance (2008) (6)
- Graphical Markov models in mul-tivariate analysis (1999) (5)
- Data reduction: sampling (2002) (5)
- Evaluating bias control strategies in observational studies using frequentist model averaging (2022) (5)
- Instance Construction via Likelihood-Based Data Squashing (2001) (5)
- Self-Controlled Case Series 1 The Self-Controlled Case Series : Recent Developments (2011) (5)
- Recommendations for Good Procedural Practices for Real-World Data Studies of Treatment Effectiveness and/or Comparative Effectiveness Designed to Inform Health Care Decisions: Report of the Joint ISPOR-ISPE Special Task Force on Real-World Evidence in Health Care Decision Making (2017) (5)
- A Learning Theory Framework for Association Rules and Sequential Events (2011) (5)
- Accelerating statistical research in drug safety (2006) (5)
- Sparse Bayesian Classifiers for Text Categorization ( U ) (2003) (5)
- KDD-99: the fifth ACM SIGKDD international conference on knowledge discovery and data mining (2000) (5)
- Graphical models in applied multivariate statistics, by J. Whittaker, John Wiley & Sons, New York, 1990, 448 pp. Price: $59.95 (1994) (4)
- Bayesian Graphical Models for Predicting Errors in Databases (1994) (4)
- DIMACS AT THE TREC 2004 GENOMICS TRACK (DRAFT) (2004) (4)
- Reuse and sharing of graphical belief network components (1994) (4)
- The scientific value of Bayesian statistical methods (1997) (4)
- Comment on “How pharmacoepidemiology networks can manage distributed analyses to improve replicability and transparency and minimize bias” (2019) (3)
- Markov Chain Monte Carlo Methods for Hierarchical Bayesian Expert Systems (1994) (3)
- On Bayesian Learning of Sparse Classifiers (2002) (3)
- A Flexible Bayesian Generalized Linear Model for Dichotomous Response Data with an Application to Text Categorization (2007) (3)
- Combining cox regressions across a heterogeneous distributed research network facing small and zero counts (2021) (3)
- Data Mining in Pharmacovigilance (2012) (3)
- Letter to the Editor: Response to Vermont Talc-miners Cohort Study Update. (2019) (3)
- Benchmark Lessons and the World Wide Web: Tools for Teaching Statistics (1996) (3)
- Bayesian graphical models, intention-to-treat, and the rubin causal Model (1999) (3)
- A Learning Theory Framework for Sequential Event Prediction and Association Rules (2012) (3)
- Educational tools for the advancement of undergraduate statistics education (1996) (2)
- Bayesian Graphical Modeling for Intelligent Tutoring Systems (1994) (2)
- 2402: Long-term stability of cortical language sites following resective epilepsy surgery (2017) (2)
- Correction: Separation and completeness properties for AMP chain graph Markov models (2003) (2)
- A Bayesian Feature Selection Score Based on Naïve Bayes Models (2007) (2)
- Quantitative signal detection for vaccines (2010) (2)
- Development and Evaluation of Infrastructure and Analytic Methods for Systematic Drug Safety Surveillance: Lessons and Resources from the Observational Medical Outcomes Partnership (2014) (2)
- Response to Comment on ‘Empirical assessment of methods for risk identification in healthcare data’ (2013) (1)
- Bayesian Data Analysis for Data Mining (2002) (1)
- The Jarvik 2000: Results of the United States Bridge to Transplant Trial (2016) (1)
- Text Classification for Mining Massive Aviation Inspection Reports (2002) (1)
- Statistical Analysis of Clinical Variables to Predict the Outcome of Surgical Intervention in Patients with Knee Complaints (1999) (1)
- How Con dent Are We About Observational Findings in Health Care: A Benchmark Study (2020) (1)
- Proceedings of the 2011 workshop on Data mining for medicine and healthcare (2011) (1)
- Book Reviews: Principles of Data Mining. By David Hand, Heikki Mannila, and Padhraic Smyth. (2002) (1)
- Evaluating the association of center designation and in-hospital mortality among injured adolescents (2015) (0)
- Comparative safety and effectiveness of alendronate versus raloxifene in women with osteoporosis (2020) (0)
- Annual Report Dimacs Project on Algorithms for Port of Entry Inspection (2005) (0)
- Method and device for locating a set of terminals in a wireless indoor environment (2006) (0)
- OPERATIONS RESEARCH CENTER Working Paper MASSACHUSETTS INSTITUTE OF TECHNOLOGY by Bayesian Hierarchical Rule Modeling for Predicting Medical Conditions OR 385-11 (2011) (0)
- Sequential event prediction (2013) (0)
- Bayesian approaches to aspects of the Vioxx trials: Non-ignorable dropout and sequential meta-analysis (2018) (0)
- Model Selection and Accounting for ModelUncertainty in Linear Regression (1993) (0)
- THE RELATIONSHIP BETWEEN CENTER TYPE AND MORTALITY AMONG ADOLESCENT TRAUMA PATIENTS (2021) (0)
- Table. Results from the Rapid Assessment of Cardiovascular Risk and Use of Smoking Cessation Drugs in the Mini-Sentinel Program (2016) (0)
- Discussion on the paper by Friedman and Fisher (1999) (0)
- Ethics and Statistics: How is Ethics Like Logistic Regression? Ethics decisions, like statistical inferences, are informative only if they're not too easy or too hard (2015) (0)
- Optimizing Leverage of RWD - ViH 1-2015 (2015) (0)
- THE MAIN ADVANTAGES OF INTERNATIONAL PORTFOLIO DIVERSIFICATION (2008) (0)
- Bayesian Posterior Interval Calibration to Improve the Interpretability of Observational Studies (2020) (0)
- Classifiers of massive and structured data problems: algorithms and applications (2007) (0)
- Erratum to: Large-Scale Evidence Generation and Evaluation across a Network of Databases (LEGEND): Assessing Validity Using Hypertension as a Case Study (2020) (0)
- 2402 (2017) (0)
- Interexpert Agreement in Identification of Zone 1 Disease in Retinopathy of Prematurity (2009) (0)
- Mortality and the self‐controlled case series method. Response to Letter to Editor. (2012) (0)
- Selected Data Mining Concepts (2004) (0)
- Statistics perspective on data and knowledge (2002) (0)
- [Bayesian Analysis in Expert Systems]: Comment: What's Next? (1993) (0)
- Association of High-Risk Alleles in Complement Factor H and ARMS2 With Reticular Macular Disease (2010) (0)
- Evidence that cosmetic talc is a cause of ovarian cancer (2020) (0)
- Contents I This is a Part 7 1 A Bayesian feature selection score based on Naive Bayes (2007) (0)
- THE MAIN ADVANTAGES OF INTERNATIONAL PORTFOLIO DIVERSIFICATION (2008) (0)
- Reassessing mechanism as a predictor of pediatric injury mortality. (2015) (0)
- Bayesian Model Averaging in Proportional HazardModels : Assessing the Risk of a StrokeChris (1997) (0)
- On Test Selection Strategres for Belief Networks (2021) (0)
- Causal Inference for Meta-Analysis and Multi-Level Data Structures, with Application to Randomized Studies of Vioxx (2016) (0)
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David Madigan is affiliated with the following schools:
