Sample size determination for jointly testing a cause-specific hazard and the all-cause hazard in the presence of competing risks
| Autor: | Qing Yang, Gang Li, Wing K. Fung |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Statistics and Probability
Hazard (logic) Epidemiology Computer science Competing risks 01 natural sciences 010104 statistics & probability 03 medical and health sciences R package 0302 clinical medicine Sample size determination Censoring (clinical trials) Statistics Overall survival 030212 general & internal medicine 0101 mathematics Cause specific hazard |
| Zdroj: | Statistics in Medicine. 37:1389-1401 |
| ISSN: | 0277-6715 |
| DOI: | 10.1002/sim.7590 |
| Popis: | This article considers sample size determination for jointly testing a cause-specific hazard and the all-cause hazard for competing risks data. The cause-specific hazard and the all-cause hazard jointly characterize important study end points such as the disease-specific survival and overall survival, which are commonly used as coprimary end points in clinical trials. Specifically, we derive sample size calculation methods for 2-group comparisons based on an asymptotic chi-square joint test and a maximum joint test of the aforementioned quantities, taking into account censoring due to lost to follow-up as well as staggered entry and administrative censoring. We illustrate the application of the proposed methods using the Die Deutsche Diabetes Dialyse Studies clinical trial. An R package "powerCompRisk" has been developed and made available at the CRAN R library. |
| Databáze: | OpenAIRE |
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