pquantile: Value of response rate to attain a given p-value

In arsenionhacolo/InferenceBEAGSD: Inference for Binary Endpoint Adaptive Group-Sequential Designs

Description

Finds, for Simon-like designs, the value of response probability that would yield a given p-value.

Usage

pquantile(s, n1, r1, n, p0, pvalue)

Arguments

s	Total number of successes.
n1	Stage 1 sample size.
r1	Stage 1 critical value (trial is stopped at stage 1 if the number of successes is at most r1).
n	Total sample size.
p0	Response rate under the null hypothesis.
pvalue	The desired p-value.

Details

The solution is found using numerical search, with a precision of 0.000001. The p-value is as defined by Koyama and Chen (2008).

Value

Response probability.

Author(s)

Arsenio Nhacolo

References

Koyama, T. and Chen, H. Proper inference from Simon's two-stage designs. Stat Med, 2008, 27, 3145-3154.

See Also

pvaluek and pk.

Examples

pquantile(21, 19, 4, 54, 0.2, 0.5)

arsenionhacolo/InferenceBEAGSD documentation built on May 9, 2019, 4:10 a.m.