pickwin | R Documentation |
Calculates operating characteristics of pick the winner rules for two stage randomized phase II designs
pickwin(n1, n2, p1, p2, r1, r2, r3 = r1, r4 = r2)
n1 |
first stage sample size (assumed to be the same for both treatments) |
n2 |
addition accrual during the second stage (assumed to be the same for both treatments) |
p1 |
True response probability on treatment 1 |
p2 |
True response probability on treatment 2 |
r1 |
The maximum number of responses to declare treatment 1 inactive in the first stage |
r2 |
The maximum number of total responses over both stages to declare treatment 1 inactive |
r3 |
The maximum number of responses to declare treatment 2 inactive in the first stage |
r4 |
The maximum number of total responses over both stages to declare treatment 2 inactive |
Assumes that during the first stage of accrual n1
patients are
randomized to each treatment (RX1 and RX2). If more than r1
(r3
) responses are seen on treatment RX1 (RX2), then an additional
n2
patients will be accrued to treatment RX1 (RX2). If more than
r2
(r4
) total responses are seen on RX1 (RX2), then RX1 (RX2)
will be declared active.
Let X1 and X2 be the number of responses observed on treatments 1 and 2. This function computes and prints P(X1<=r2)=P(RX1 declared inactive), P(X2<=r4)=P(RX2 declared inactive), P(X2>r4 and X2>X1)=P(RX2 declared superior), P(X1>r2 and X1>X2)=P(RX1 declared superior), and P(X1=X2 or (X1<=r2 and X2<=r4))=P(neither declared superior). Note that P(neither declared superior) includes both the probability that both are declared inactive and the probability that both are declared active and are equal.
Returns a vector of length 9, whose components are (in order) P(X1<=r1, X2>r4), P(r1<X1<=r2, X2>r4), P(X1>r2, X2>X1, X2>r4), P(X2<=r3, X1>r2), P(r3<X2<=r4, X1>r2), P(X1>r2, X2>r4, X1>X2), P(X1<=r2, X2<=r4), P(X1>r2, X2>r4, X1=X2), and the sum of the first 8 terms.
Simon R, Wittes RE and Ellenberg SS, 1985. Randomized phase II clinical trials. Cancer Treat Rep 69 (12):1375–81.
b2p
pickwin(14, 18, 0.1, 0.2, 0, 3)
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