Bayesian modeling longitudinal dyadic data with nonignorable dropout, with application to a breast cancer study

DOI10.1214/11-AOAS515zbMath1243.62039arXiv1206.6664WikidataQ30652502 ScholiaQ30652502MaRDI QIDQ439170

Guangyu Zhang, Ying Yuan

Publication date: 1 August 2012

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

Full work available at URL: https://arxiv.org/abs/1206.6664

zbMATH Keywords

missing dataselection model

Mathematics Subject Classification ID

Related Items (3)

A propensity score adjustment method for longitudinal time series models under nonignorable nonresponse ⋮ Simultaneous Bayesian modelling of skew-normal longitudinal measurements with non-ignorable dropout ⋮ Bayesian Latent‐Class Mixed‐Effect Hybrid Models for Dyadic Longitudinal Data with Non‐Ignorable Dropouts

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