Description Usage Arguments Value Examples
Function for calculating the minimum required number of responders in the experimental group to make a GO decision in Settings 3 and 4.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | req_resp_rct(
N_c,
N_e,
delta,
confidence,
e_a = 0.5,
e_b = 0.5,
c_a = 0.5,
c_b = 0.5,
h_a = 0.5,
h_b = 0.5,
RR_h = NULL,
N_h = NULL,
w = NULL,
plot = T
)
|
N_c |
Sample Size in the control group. |
N_e |
Sample Size in the experimental group. |
delta |
Required superiority to make a "GO" decision. Corresponds to δ. |
confidence |
Required confidence to make "GO" decision. Corresponds to γ. |
e_a |
Alpha parameter of Beta Prior Distribution for the experimental response rate. Corresponds to α e. Default is 1/2. |
e_b |
Beta parameter of Beta Prior Distribution for the experimental response rate. Corresponds to β e. Default is 1/2. |
c_a |
Alpha parameter of Beta Prior Distribution for the control response rate. Corresponds to α c. Default is 1/2. |
c_b |
Beta parameter of Beta Prior Distribution for the control response rate. Corresponds to β c. Default is 1/2. |
h_a |
Alpha parameter of Beta Prior Distribution for the historical control response rate. Corresponds to α h. Only needs to be specified, if RR_h, N_h and w are also specified. Default is 1/2. |
h_b |
Beta parameter of Beta Prior Distribution for the historical control response rate. Corresponds to β h. Only needs to be specified, if RR_h, N_h and w are also specified. Default is 1/2. |
RR_h |
Historical control response rate. Corresponds to p h. If specified together with N_h and w, function will use setting 4 from pdf. |
N_h |
Historical control sample size. Corresponds to n h. If specified together with RR_h and w, function will use setting 4 from pdf. |
w |
Level of dynmaic borrowing. Corresponds to w. |
plot |
Plots yes or no. Default is TRUE. |
Matrix containing pairs of successes in control group and respective required successes in experimental group.
1 2 3 4 5 6 7 8 9 10 11 12 | # Setting 3
req_resp_rct(
N_c = 25, N_e = 25,
delta = 0.08, confidence = 0.6
)
# Setting 4
req_resp_rct(
N_c = 25, N_e = 25,
delta = 0.08, confidence = 0.6,
RR_h = 0.5, N_h = 50, w = 0.3
)
|
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