Test for Informative Cluster Size With Right Censored Survival Data
Research output: Contribution to journal › Journal article › Research › peer-review
Clustered survival data often arise in biomedical research. When the outcome depends on the size of the cluster, the cluster size is said to be informative. Many studies assume a noninformative cluster size, even though it may not always be true. We propose a test for the assumption of informative cluster size in clustered survival data with right censoring. We use standard martingale results to obtain the asymptotic distribution of the test statistic. Simulation studies show that the proposed test works well under various scenarios. To illustrate the proposed approach, we consider several applications: periodontal data, a multicentric study of patients with liver disease, and a recent data set of patients with metastatic cancer treated using immunotherapy.
Original language | English |
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Journal | Statistica Sinica |
Volume | 34 |
Issue number | 1 |
Pages (from-to) | 181-199 |
Number of pages | 19 |
ISSN | 1017-0405 |
DOIs | |
Publication status | Published - 2024 |
Bibliographical note
Publisher Copyright:
© 2024 Institute of Statistical Science. All rights reserved.
- Clustered data, hypothesis testing, informative cluster size, survival analysis
Research areas
Links
- https://www3.stat.sinica.edu.tw/statistica/j34n1/34-1.html
Final published version
ID: 389670543