Developing a goodness of fit test for a joint model of clustered survival and count data

DOI10.1080/03610918.2020.1825738OpenAlexW3090323918MaRDI QIDQ5055196

Marina Roshini Sooriyarachchi, A. P. N. G. Adhikari

Publication date: 13 December 2022

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2020.1825738

zbMATH Keywords

survivalsimulationhierarchical data structurejoint modelmixed responsescount

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• MLwiN

Cites Work

• Unnamed Item
• A Goodness of Fit Test for the Multilevel Logistic Model
• Joint Models for Longitudinal and Time-to-Event Data
• Goodness of fit tests for the multiple logistic regression model
• Goodness-of-Fit Tests for Ordinal Response Regression Models
• A novel method for joint modeling of survival data and count data for both simple randomized and cluster randomized data
• The development of a goodness-of-fit test for high level binary multilevel models

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