ci2: Confidence interval (using Method 2 of Nhacolo and Brannath,...

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

Description

ci2 computes confidence interval.

Usage

ci2(dsgn, x1o, xo, alpha = 0.05, twosided = FALSE)

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.
alpha	The significance level.
twosided	If FALSE (default) a one-sided CI is produced.

Details

This CI is obtained using the Method 2, 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

CI is a list with lower and upper bounds.

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

ci1, ci2v2, ci3, aop2, aop2e, pipv2, mue2.

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