fisher

A wrapper for <code><a href="/link/stats%3A%3Afisher.test?package=BayesianHybridDesign&version=0.1.0" data-mini-rdoc="BayesianHybridDesign::stats::fisher.test">stats::fisher.test</a></code> to conveniently compare response rates
between two arms (experimental and control).

Implements Bayesian hybrid designs that incorporate historical
control data into a current clinical trial. The package uses a dynamic
power prior method to determine the degree of borrowing from the historical
data, creating a 'hybrid' control arm. This approach is primarily
designed for studies with a binary primary endpoint, such as the overall
response rate (ORR). Functions are provided for design calibration,
sample size calculation, power evaluation, and final analysis.
Additionally, it includes functions adapted from the 'SAMprior' package
(v1.1.1) by Yang et al. (2023) <https://academic.oup.com/biometrics/article/79/4/2857/7587575> to support the
Self-Adapting Mixture (SAM) prior framework for comparison.

Zhaohua Lu

BayesianHybridDesign

Bayesian Hybrid Design and Analysis

Philip He

fisher function

<dl><dt>Yc</dt>
<dd>A scalar integer. The number of subjects with a response in the
control arm.</dd>
<dt>nc</dt>
<dd>A scalar integer. The total number of subjects in the control arm.</dd>
<dt>Yt</dt>
<dd>A scalar integer. The number of subjects with a response in the
experimental (treatment) arm.</dd>
<dt>nt</dt>
<dd>A scalar integer. The total number of subjects in the
experimental arm.</dd>
<dt>alternative</dt>
<dd>A character string specifying the alternative hypothesis.
Must be one of "two.sided" (default), "greater" or "less".</dd></dl>

Arguments

A wrapper for <code><a href='https://rdrr.io/r/stats/fisher.test.html'>stats::fisher.test</a></code> to conveniently compare response rates
between two arms (experimental and control).

Fisher's Exact Test for a 2x2 Contingency Table — fisher

<dl>

<dt>Yc</dt>
<dd>A scalar integer. The number of subjects with a response in the
control arm.</dd>


<dt>nc</dt>
<dd>A scalar integer. The total number of subjects in the control arm.</dd>


<dt>Yt</dt>
<dd>A scalar integer. The number of subjects with a response in the
experimental (treatment) arm.</dd>


<dt>nt</dt>
<dd>A scalar integer. The total number of subjects in the
experimental arm.</dd>


<dt>alternative</dt>
<dd>A character string specifying the alternative hypothesis.
Must be one of "two.sided" (default), "greater" or "less".</dd>

</dl>

fisher: Fisher's Exact Test for a 2x2 Contingency Table

Description

Usage

Value

Arguments

See Also

Examples