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BAYESIAN MODELING LONGITUDINAL DYADIC DATA WITH NONIGNORABLE DROPOUT, WITH APPLICATION TO A BREAST CANCER STUDY

Dyadic data are common in the social and behavioral sciences, in which members of dyads are correlated due to the interdependence structure within dyads. The analysis of longitudinal dyadic data becomes complex when nonignorable dropouts occur. We propose a fully Bayesian selection-model-based appro...

Disgrifiad llawn

Wedi'i Gadw mewn:
Manylion Llyfryddiaeth
Prif Awduron: Zhang, Guangyu, Yuan, Ying
Fformat: Artigo
Iaith:Inglês
Cyhoeddwyd: 2012
Pynciau:
Mynediad Ar-lein:https://ncbi.nlm.nih.gov/pmc/articles/PMC3693094/
https://ncbi.nlm.nih.gov/pubmed/23814631
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1214/11-AOAS515
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