Bayesian models for data missing not at random in health examination surveys

DOI10.1177/1471082X17722605OpenAlexW2963690429WikidataQ109746474 ScholiaQ109746474MaRDI QIDQ5142200

Tommi Härkänen, Juho Kopra, Juha Karvanen

Publication date: 30 December 2020

Published in: Statistical Modelling (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1610.03687

zbMATH Keywords

survival analysisBayesian estimationmultiple imputationdata augmentationfollow-up datahealth examination surveys

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (1)

Treatment effect identification using two-level designs with partially ignorable missing data

Uses Software

• R
• rjags
• JAGS
• MICE

Cites Work

• Iterated importance sampling in missing data problems
• The Calculation of Posterior Distributions by Data Augmentation
• Inference and missing data
• Study Design in Causal Models
• An adaptive Metropolis algorithm
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