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David Madigan - MaRDI portal

David Madigan

From MaRDI portal
Person:252171

Available identifiers

zbMath Open madigan.davidWikidataQ21030327 ScholiaQ21030327MaRDI QIDQ252171

List of research outcomes

PublicationDate of PublicationType
Stable Discovery of Interpretable Subgroups via Calibration in Causal Studies2023-12-15Paper
Large‐scale regression‐based pattern discovery: The example of screening the WHO global drug safety database2020-10-14Paper
Predicting health outcomes from high‐dimensional longitudinal health histories using relational random forests2020-10-14Paper
Hierarchical models for multiple, rare outcomes using massive observational healthcare databases2020-10-14Paper
Bayesian Multinomial Logistic Regression for Author Identification2020-08-26Paper
Massive Parallelization of Serial Inference Algorithms for a Complex Generalized Linear Model2018-04-16Paper
Latent class mixture models of treatment effect heterogeneity2018-02-23Paper
Causal inference for meta-analysis and multi-level data structures, with application to randomized studies of Vioxx2018-02-07Paper
https://portal.mardi4nfdi.de/entity/Q28345262016-11-22Paper
A one-pass sequential Monte Carlo method for Bayesian analysis of massive datasets2016-03-02Paper
Interpretable classifiers using rules and Bayesian analysis: building a better stroke prediction model2016-01-04Paper
https://portal.mardi4nfdi.de/entity/Q29339542014-12-08Paper
Sequential event prediction2014-07-14Paper
Multiple Self‐Controlled Case Series for Large‐Scale Longitudinal Observational Databases2014-04-08Paper
Bayesian hierarchical rule modeling for predicting medical conditions2012-08-01Paper
Dynamic Logistic Regression and Dynamic Model Averaging for Binary Classification2012-06-27Paper
Efficient sequential decision-making algorithms for container inspection operations2012-06-18Paper
https://portal.mardi4nfdi.de/entity/Q30961102011-11-08Paper
https://portal.mardi4nfdi.de/entity/Q53105562007-10-11Paper
Effective directed tests for models with ordered categorical data2005-04-11Paper
Bayesian model averaging: A tutorial. (with comments and a rejoinder).2004-05-27Paper
Separation and completeness properties for AMP chain graph Markov models.2002-11-14Paper
Likelihood-based data squashing: A modeling approach to instance construction2002-05-30Paper
Alternative Markov Properties for Chain Graphs2001-07-11Paper
https://portal.mardi4nfdi.de/entity/Q48499802000-07-04Paper
Eliciting prior information to enhance the predictive performance of bayesian graphical models2000-06-13Paper
Amendments and corrections2000-02-03Paper
https://portal.mardi4nfdi.de/entity/Q48499611999-11-08Paper
On the Markov Equivalence of Chain Graphs, Undirected Graphs, and Acyclic Digraphs1999-08-17Paper
Bayesian Model Averaging in Proportional Hazard Models: Assessing the Risk of a Stroke1999-01-10Paper
https://portal.mardi4nfdi.de/entity/Q49390781999-01-01Paper
Bayesian model averaging and model selection for markov equivalence classes of acyclic digraphs1998-02-17Paper
Bayesian methods for estimation of the size of a closed population1998-01-07Paper
Bayesian Model Averaging for Linear Regression Models1998-01-07Paper
A characterization of Markov equivalence classes for acyclic digraphs1997-11-18Paper
A graphical characterization of lattice conditional independence models1997-10-26Paper
A method for simultaneous variable selection and outlier identification in linear regression1997-02-27Paper
On the relation between conditional independence models determined by finite distributive lattices and by directed acyclic graphs1996-06-19Paper
Bayesian Graphical Models for Discrete Data1996-04-08Paper
https://portal.mardi4nfdi.de/entity/Q48499591995-12-19Paper
Birth Defects Registered by Double Sampling: A Bayesian Approach Incorporating Covariates and Model Uncertainty1995-07-27Paper
Model Selection and Accounting for Model Uncertainty in Graphical Models Using Occam's Window1995-02-23Paper
An extension of the results of Asmussen and Edwards on collapsibility in contingency tables1990-01-01Paper

Research outcomes over time


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