A Bayesian analysis for longitudinal semicontinuous data with an application to an acupuncture clinical trial

DOI10.1016/j.csda.2008.09.011zbMath1452.62808OpenAlexW1995065392WikidataQ33504562 ScholiaQ33504562MaRDI QIDQ961176

B. E. Eshmatov

Publication date: 30 March 2010

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc2744988

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15)

Related Items (11)

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Uses Software

• R
• WinBUGS
• R2WinBUGS
• SemiPar
• BayesDA

Cites Work

• Unnamed Item
• Estimating the retransformed mean in a heteroscedastic two-part model
• Simple Incorporation of Interactions into Additive Models
• Analyzing Excessive No Changes in Clinical Trials with Clustered Data
• Sampling-Based Approaches to Calculating Marginal Densities
• A Stochastic Model for the Analysis of Bivariate Longitudinal AIDS Data
• Maximum Likelihood Algorithms for Generalized Linear Mixed Models
• A Two-Part Random-Effects Model for Semicontinuous Longitudinal Data
• Semiparametric Regression
• Comparison of Several Independent Population Means When Their Samples Contain Log‐Normal and Possibly Zero Observations
• Bayesian Measures of Model Complexity and Fit
• Analysis of data with excess zeros
• A Bayesian Mixture Model for Partitioning Gene Expression Data
• A Hierarchical Multivariate Two-Part Model for Profiling Providers' Effects on Health Care Charges
• Bayesian Inference for a Two-Part Hierarchical Model
• Modelling Longitudinal Semicontinuous Emesis Volume Data with Serial Correlation in an Acupuncture Clinical Trial
• Deviance information criteria for missing data models

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