Analysis of rolling group therapy data using conditionally autoregressive priors

DOI10.1214/10-AOAS434zbMath1223.62163arXiv1108.0240WikidataQ33998726 ScholiaQ33998726MaRDI QIDQ641116

Katherine E. Watkins, Susan M. Paddock, Daniel F. McCaffrey, Sarah B. Hunter

Publication date: 21 October 2011

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1108.0240

zbMATH Keywords

hierarchical modelingBayesian modelingmental healthmultilevel modelingsubstance abuse treatment

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Medical applications (general) (92C50) Mathematical psychology (91E99)

Related Items (2)

Bayesian nonparametric hierarchical modeling for multiple membership data in grouped attendance interventions ⋮ Efficient maximum likelihood estimation of multiple membership linear mixed models, with an application to educational value-added assessments

Uses Software

• WinBUGS

Cites Work

• Longitudinal data analysis using generalized linear models
• Random-Effects Models for Longitudinal Data
• Bayesian image restoration, with two applications in spatial statistics (with discussion)
• Inference from iterative simulation using multiple sequences
• On the Precision of the Conditionally Autoregressive Prior in Spatial Models
• A Two-Part Random-Effects Model for Semicontinuous Longitudinal Data
• A comparison of Bayesian spatial models for disease mapping
• Bayesian Measures of Model Complexity and Fit
• Modeling the Drop-Out Mechanism in Repeated-Measures Studies
• Effects of Residual Smoothing on the Posterior of the Fixed Effects in Disease‐Mapping Models
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: Analysis of rolling group therapy data using conditionally autoregressive priors