sample_size_3arm_binary {frequentistSSDBinary} | R Documentation |
Calculate the sample size for each arm in a three-arm study
Description
Calculate the sample size for each arm in a three-arm trial
Usage
sample_size_3arm_binary(p0, p1, p2, p3, diff = 0, selection.prob = 0.9, alpha = 0.1,
beta = 0.2)
Arguments
p0 |
the response rate of historical control arm |
p1 |
the response rate of arm 1 |
p2 |
the response rate of arm 2 |
p3 |
the response rate of arm 3 |
diff |
the equivalence margin. The default value is diff = 0 |
selection.prob |
the probability of selection of a superior arm. The default value is selection.prob = 0.9 |
alpha |
the type I error to be controlled. The default value is alpha = 0.1 |
beta |
the type II error to be controlled. The default value is beta = 0.2 |
Value
sample_size_3arm_binary()
returns required sample size for each arm
Author(s)
Chia-Wei Hsu, Zongheng Cai, Haitao Pan
References
Cai, Z., Pan, H., Wu, J., Hsu, C.W. (2024). Uncontrolled Randomized Screening Selection Design for Pediatric Oncology Trials. Accepted in Book Chapter of "Master Protocol Clinical Trial for Efficient Evidence Generation"
Wu, J., Pan, H., & Hsu, C. W. (2022). Two-stage screened selection designs for randomized phase II trials with time-to-event endpoints. Biometrical Journal, 64(7), 1207-1218
Yap, C., Pettitt, A. & Billingham, L. Screened selection design for randomised phase II oncology trials: an example in chronic lymphocytic leukaemia. BMC Med Res Methodol 13, 87 (2013)
Examples
sample_size_3arm_binary(p0 = 0.2, p1 = 0.415, p2 = 0.515, p3 = 0.615)