dtl_app_get_alpha_t {dtlcor} | R Documentation |
Minimum significance level for the final stage under drop-the-losers (DTL) design
Description
Get minimum significance level alpha_t (minimum of alpha_s) for the final analysis considering the ranges of response rate q and hazard ratio of responders and non-responders gamma given a pre-specified FWER alpha
Usage
dtl_app_get_alpha_t(n, N, q_seq, gamma_seq, alpha, fix_rho = NULL, delta)
Arguments
n |
Number of patients per treatment arm at the DTL look. |
N |
Total number of patients in both selected and control arms at final analysis. |
q_seq |
A vector of response rates under the null (can be 95% CI). |
gamma_seq |
A vector of hazards ratios of responders and non-responders (can be 95% CI). |
alpha |
A pre-specified FWER. |
fix_rho |
Use fixed correlation coefficient or use theoretical upper bound to get alpha_t. If = NULL, then it uses upper bound; else if = real number between 0 and 1, then it use such number as fixed correlation coefficient. |
delta |
Least difference to decide superiority of high dose. |
Value
A list of two data frames for minimum significance level alpha_t and significance level alpht_s given all combinations of q_seq and gamma_seq.
Examples
# Inputs
n = 80
N = 152
q_seq = seq(0.19, 0.32, 0.01)
gamma_seq = seq(0.14, 0.34, 0.01)
alpha = 0.025
delta = 0.05
# Use fixed correlation coefficient
dtl_app_get_alpha_t(n, N, q_seq, gamma_seq, alpha, fix_rho = 1, delta)
# Use theoretical upper bound
dtl_app_get_alpha_t(n, N, q_seq, gamma_seq, alpha, fix_rho = NULL, delta)