sfms: Probability mass function of '(M, S)'

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

Description

Probability mass function of M (stage) and S (number of successes).

Usage

sfms(s, n1, r1, n, p, m = NA)

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.
p	True success probability.
m	Stage number (1 or 2). It is automatically determined based on s and r1, therefore it shouldn't be provided, unless there are reasons to do so.

Details

Probability mass function of the statistic (M, S) for Simon-like designs (allowing early stopping for futility only).

Value

Density.

Author(s)

Arsenio Nhacolo

References

Jung, S.-H. and Kim, K. M. On the estimation of the binomial probability in multistage clinical trials. Stat Med, 2004, 23, 881-896.

See Also

sbias and pg.

Examples

sfms(21, 19, 4, 54, 0.4)

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