aop1: Overall p-value (Method 1 of Nhacolo and Brannath, 2018).

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

Description

aop1 calculates the overall p-value for adaptive two-stage designs with binary endpoint using the Method 1 (see Nhacolo and Brannath, 2018).

Usage

aop1(dsgn, x1o, xo, verbose = TRUE)

Arguments

dsgn	Dataframe containing one of the designs in EKOADwn.
x1o	The observed stage 1 number of responses.
xo	The total observed number of responses.
verbose	If TRUE (default) messages will be printed.

Details

This is one of the four methods proposed by Nhacolo and Brannath (2018) primarily for single-arm adaptive two-stage group sequential designs with a binary endpoint.

Value

p-value.

Author(s)

Arsenio Nhacolo

References

Nhacolo, A. and Brannath, W. Interval and point estimation in adaptive Phase II trials with binary endpoint. Stat Methods Med Res, 2018.

See Also

aop2, aop2v2, aop3e.

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