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

Mixed responses within clusters are becoming an increasingly popular phenomenon. However, this scenario is a complex one. This research is based on survival and count response data which occur frequently in medical studies. In the literature, there is no satisfactory goodness of fit test for a joint...

Full description

Saved in:
Bibliographic Details
Published inCommunications in statistics. Simulation and computation Vol. 51; no. 12; pp. 7151 - 7168
Main Authors Adhikari, A. P. N. G., Sooriyarachchi, M. R.
Format Journal Article
LanguageEnglish
Published Philadelphia Taylor & Francis 01.12.2022
Taylor & Francis Ltd
Subjects
Count
Goodness of fit
Hierarchical data structure
Joint model
Mixed responses
Simulation
Statistical tests
Survival
Online AccessGet full text

Cover

More Information
Summary:Mixed responses within clusters are becoming an increasingly popular phenomenon. However, this scenario is a complex one. This research is based on survival and count response data which occur frequently in medical studies. In the literature, there is no satisfactory goodness of fit test for a joint model of these two responses within a cluster setting. Therefore, the main objective of this study is to develop a GOF test for this scenario. Simulation studies were used to examine the type I error rate and the power of the test. An example was used to display the practicality of the test.
ISSN:0361-0918
1532-4141
DOI:10.1080/03610918.2020.1825738