Bayesian Hierarchical Poisson Models for Multiple Grouped Outcomes with Clustering
A Two-Level Hierarchical Model for Grouped Data with Clusters and with...
A Three-Level Hierarchical Model for Grouped Data with Clusters and wi...
A Two-Level Hierarchical Model for grouped data and clusters with Poin...
A Three-Level Hierarchical Model for grouped data and clusters with Po...
Cluster analysis data.
Cluster analysis data.
Convergence Diagnostics of the Simulation
Generate a template simulation initial values.
Generate default global simulation parameters for a model.
Generate default hyperparameter values for a model.
Generate default variable monitor list for a model.
Generate a template for choosing which samples to monitor.
Cluster analysis data.
Cluster analysis data.
Fit a Bayesian Hierarchical Model for Grouped Data with Clusters and w...
Bayesian Hierarchical Possion Models for Mulitple Grouped Outcomes wit...
A Bayesian Hierarchical Model for grouped data and clusters with Point...
Generate a template for the point-mass weightings.
Print a Summary of the Convergence Diagnostics of the Simulation
Print the Summary Statistics of Posterior Distributions
Reports the posterior probability that theta (the increase in the log-...
Generate a template for the individual model parameter simulation cont...
Summary Statistics for the Posterior Distributions in the model.
Cluster analysis data.
Bayesian hierarchical methods for the detection of differences in rates of related outcomes for multiple treatments for clustered observations (Carragher et al. (2020) <doi:10.1002/sim.8563>). This software was developed for the Precision Drug Theraputics: Risk Prediction in Pharmacoepidemiology project as part of a Rutherford Fund Fellowship at Health Data Research (UK), Medical Research Council (UK) award reference MR/S003967/1 (<https://gtr.ukri.org/>). Principal Investigator: Raymond Carragher.