| powerCompRisk {powerCompRisk} | R Documentation |
Power Analysis Tool for Joint Testing Hazards with Competing Risks Data.
Description
Power Analysis Tool for Joint Testing Hazards with Competing Risks Data.
Usage
powerCompRisk(alpha, beta, lambda_11, RR, HR_1, HR_all, attrition, r, f, a1)
Arguments
alpha |
Type I error. |
beta |
Type II error. |
lambda_11 |
Cause-1 cause-specific hazard in group 1. |
RR |
Relative risk of cause-1 failure versus the any-cause failure in group 1. |
HR_1 |
Pre-specified cause-1 cause-specific hazard ratio between groups 1 and 2. |
HR_all |
Pre-specified any-cause hazard ratio between groups 1 and 2. |
attrition |
Attrition rate due to lost to follow-up. |
r |
Length of patient accrual period. |
f |
Maximum follow-up period. |
a1 |
Sample allocation proportion for group 1. |
Value
A dataframe with variables Chi2 Joint, Maximum Joint, Bonferroni methods. The first entry is the required number of cause-1 failures and the second entry is the required total number of patients.
References
Yang, Q., Fung, W.K., Li, G. (2017) Sample size determination for jointly testing a cause-specific hazard and the any-cause hazard in the presence of competing risks. UCLA Department of Biostatistics Technical Report.
Examples
library(powerCompRisk)
powerCompRisk(alpha = 0.05, beta = 0.2, lambda_11 = 0.3, RR = 0.8,
HR_1 = 1.44, HR_all = 1.33, attrition = 0.1, r = 1,f = 8, a1 = 0.5)