Double generalized linear model for tissue culture proportion data: a Bayesian perspective

DOI10.1080/02664763.2010.529875zbMath1218.62072OpenAlexW2010699259MaRDI QIDQ3019504

Afrânio M. C. Vieira, Roseli A. Leandro, Geert Molenberghs, Clarice Garcia Borges Demétrio

Publication date: 28 July 2011

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

Full work available at URL: http://hdl.handle.net/1942/14380

zbMATH Keywords

Markov chain Monte Carlorandom effectsbinomial distributionGibbs samplingBayesian data analysistissue culture

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Generalized linear models (logistic models) (62J12) Numerical analysis or methods applied to Markov chains (65C40)

Uses Software

• R
• GLIM
• CODA
• BUGS
• OpenBUGS
• BayesDA

Cites Work

• Unnamed Item
• Unnamed Item
• Overdispersion: Models and estimation.
• Slice sampling. (With discussions and rejoinder)
• Inference from iterative simulation using multiple sequences
• Simulation Run Length Control in the Presence of an Initial Transient
• An extended quasi-likelihood function
• Estimating Regression Models with Multiplicative Heteroscedasticity
• Joint Estimation of Location, Dispersion, and Random Effects in Robust Design
• Generalized linear models for the analysis of quality-improvement experiments
• Zero-inflated proportion data models applied to a biological control assay
• Bayesian Measures of Model Complexity and Fit
• Signal-to-Noise Ratios, Performance Criteria, and Transformations
• Double Hierarchical Generalized Linear Models (With Discussion)