Two-pronged strategy for using DIC to compare selection models with non-ignorable missing responses

DOI10.1214/12-BA704zbMath1330.62092OpenAlexW1520782008WikidataQ60373141 ScholiaQ60373141MaRDI QIDQ2633903

Sylvia Richardson, Alexina Mason, Nicky G. Best

Publication date: 5 February 2016

Published in: Bayesian Analysis (Search for Journal in Brave)

Full work available at URL: https://projecteuclid.org/euclid.ba/1339616727

zbMATH Keywords

devianceDICselection modelsBayesian model comparisonmissing responsenon-ignorable missingnessobserved data likelihoodsensitivity anlalysis

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Applications of statistics to biology and medical sciences; meta analysis (62P10) Point estimation (62F10) Bayesian inference (62F15)

Related Items (3)

Bayesian methods for time series of count data ⋮ A Brief Review of Approaches to Non‐ignorable Non‐response ⋮ Bayesian model selection for longitudinal count data

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