BinaryExactCI

This function calculates the exact confidendence interval for a
response rate presented by \(n\) and \(r\).

Tool-set to support Bayesian evidence synthesis. This
includes meta-analysis, (robust) prior derivation from historical
data, operating characteristics and analysis (1 and 2 sample
cases). Please refer to Weber et al. (2021) <doi:10.18637/jss.v100.i19>
for details on applying this package while Neuenschwander et al. (2010)
<doi:10.1177/1740774509356002> and Schmidli et al. (2014)
<doi:10.1111/biom.12242> explain details on the methodology.

Sebastian Weber

RBesT

R Bayesian Evidence Synthesis Tools

Novartis Pharma AG

Beat Neuenschwander

Heinz Schmidli

Baldur Magnusson

Yue Li

Satrajit Roychoudhury

Trustees of Columbia University

BinaryExactCI function

<dl><dt>r</dt>
<dd>Number of success or responder</dd>
<dt>n</dt>
<dd>Sample size</dd>
<dt>alpha</dt>
<dd>confidence level</dd>
<dt>drop</dt>
<dd>Determines if <code><a href="/link/drop?package=RBesT&version=1.7-3" data-mini-rdoc="RBesT::drop">drop</a></code> will be called on the result</dd></dl>

Arguments

Exact Confidence interval for Binary Proportion — BinaryExactCI

<dl>

<dt>r</dt>
<dd>Number of success or responder</dd>


<dt>n</dt>
<dd>Sample size</dd>


<dt>alpha</dt>
<dd>confidence level</dd>


<dt>drop</dt>
<dd>Determines if <code><a href='https://rdrr.io/r/base/drop.html'>drop</a></code> will be called on the result</dd>

</dl>

BinaryExactCI: Exact Confidence interval for Binary Proportion

Description

Usage

Value

Arguments

Details

References

Examples