Joint analysis of longitudinal and survival AIDS data with a spatial fraction of long‐term survivors: A Bayesian approach

DOI10.1002/BIMJ.201600159zbMath1379.62078OpenAlexW2611685388WikidataQ36360961 ScholiaQ36360961MaRDI QIDQ4597905

Rui Paulo Martins, Valeska Andreozzi, Giovani Loiola Silva

Publication date: 14 December 2017

Published in: Biometrical Journal (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/10400.26/17920

zbMATH Keywords

repeated measuresmixed modelscure fractionspatial frailtytime-to-event analysis

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Reliability and life testing (62N05)

Related Items (3)

A flexible link for joint modelling longitudinal and survival data accounting for individual longitudinal heterogeneity ⋮ A multivariate survival model induced by discrete frailty ⋮ Spatial joint models through Bayesian structured piecewise additive joint modelling for longitudinal and time-to-event data

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