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Developing a goodness of fit test for a joint model of clustered survival and count data
Communications in Statistics - Simulation and Computation ( IF 0.8 ) Pub Date : 2020-10-05 , DOI: 10.1080/03610918.2020.1825738
A. P. N. G. Adhikari 1 , M. R. Sooriyarachchi 1
Affiliation  

Abstract

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.



中文翻译:

为聚类生存和计数数据的联合模型开发拟合优度检验

摘要

集群内的混合反应正成为一种越来越普遍的现象。但是,这种情况很复杂。这项研究基于医学研究中经常出现的生存和计数反应数据。在文献中,对于集群设置中这两个响应的联合模型,没有令人满意的拟合优度检验。因此,本研究的主要目标是针对这种情况开发 GOF 测试。模拟研究用于检查 I 类错误率和测试的功效。举例说明了测试的实用性。

更新日期:2020-10-05
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