The following pages link to David Madigan (Q252171):
Displaying 45 items.
- (Q439155) (redirect page) (← links)
- Bayesian hierarchical rule modeling for predicting medical conditions (Q439156) (← links)
- (Q589856) (redirect page) (← links)
- Interpretable classifiers using rules and Bayesian analysis: building a better stroke prediction model (Q902909) (← links)
- A method for simultaneous variable selection and outlier identification in linear regression (Q1351887) (← links)
- A characterization of Markov equivalence classes for acyclic digraphs (Q1359411) (← links)
- A graphical characterization of lattice conditional independence models (Q1370585) (← links)
- Bayesian model averaging: A tutorial. (with comments and a rejoinder). (Q1431179) (← links)
- Likelihood-based data squashing: A modeling approach to instance construction (Q1597456) (← links)
- Causal inference for meta-analysis and multi-level data structures, with application to randomized studies of Vioxx (Q1695640) (← links)
- Latent class mixture models of treatment effect heterogeneity (Q1699689) (← links)
- Separation and completeness properties for AMP chain graph Markov models. (Q1848925) (← links)
- On the relation between conditional independence models determined by finite distributive lattices and by directed acyclic graphs (Q1907644) (← links)
- Sequential event prediction (Q2251444) (← links)
- Alternative Markov properties for chain graphs (Q2722302) (← links)
- The factorized self-controlled case series method: an approach for estimating the effects of many drugs on many outcomes (Q2834526) (← links)
- Efficient sequential decision-making algorithms for container inspection operations (Q2892126) (← links)
- Dynamic logistic regression and dynamic model averaging for binary classification (Q2893978) (← links)
- (Q2933954) (← links)
- (Q3096110) (← links)
- Bayesian model averaging and model selection for markov equivalence classes of acyclic digraphs (Q3125768) (← links)
- An extension of the results of Asmussen and Edwards on collapsibility in contingency tables (Q3357375) (← links)
- On the Markov Equivalence of Chain Graphs, Undirected Graphs, and Acyclic Digraphs (Q4221805) (← links)
- Model Selection and Accounting for Model Uncertainty in Graphical Models Using Occam's Window (Q4323584) (← links)
- Eliciting prior information to enhance the predictive performance of bayesian graphical models (Q4337066) (← links)
- Bayesian methods for estimation of the size of a closed population (Q4364839) (← links)
- Bayesian Model Averaging for Linear Regression Models (Q4366055) (← links)
- Bayesian Model Averaging in Proportional Hazard Models: Assessing the Risk of a Stroke (Q4390936) (← links)
- Massive Parallelization of Serial Inference Algorithms for a Complex Generalized Linear Model (Q4635216) (← links)
- Effective directed tests for models with ordered categorical data (Q4665436) (← links)
- Birth Defects Registered by Double Sampling: A Bayesian Approach Incorporating Covariates and Model Uncertainty (Q4842329) (← links)
- (Q4849959) (← links)
- (Q4849961) (← links)
- (Q4849980) (← links)
- Bayesian Graphical Models for Discrete Data (Q4857108) (← links)
- Amendments and corrections (Q4937287) (← links)
- (Q4939078) (← links)
- Large‐scale regression‐based pattern discovery: The example of screening the WHO global drug safety database (Q4969717) (← links)
- Predicting health outcomes from high‐dimensional longitudinal health histories using relational random forests (Q4969997) (← links)
- Hierarchical models for multiple, rare outcomes using massive observational healthcare databases (Q4970199) (← links)
- Bayesian Multinomial Logistic Regression for Author Identification (Q5118756) (← links)
- (Q5310556) (← links)
- Multiple Self‐Controlled Case Series for Large‐Scale Longitudinal Observational Databases (Q5408010) (← links)
- A one-pass sequential Monte Carlo method for Bayesian analysis of massive datasets (Q5965261) (← links)
- Stable Discovery of Interpretable Subgroups via Calibration in Causal Studies (Q6089483) (← links)
