pow,ChiSquare-method

Calculates the power of designs with blinded sample size recalculation
or of fixed designs for one or several values of the nuisance parameter.

Computation of key characteristics and plots for blinded sample size recalculation.
Continuous as well as binary endpoints are supported in superiority and non-inferiority trials.
See Baumann, Pilz, Kieser (2022) <doi:10.32614/RJ-2022-001> for a detailed description.
The implemented methods include the approaches by
Lu, K. (2019) <doi:10.1002/pst.1737>,
Kieser, M. and Friede, T. (2000) <doi:10.1002/(SICI)1097-0258(20000415)19:7%3C901::AID-SIM405%3E3.0.CO;2-L>,
Friede, T. and Kieser, M. (2004) <doi:10.1002/pst.140>,
Friede, T., Mitchell, C., Mueller-Veltern, G. (2007) <doi:10.1002/bimj.200610373>, and
Friede, T. and Kieser, M. (2011) <doi:10.3414/ME09-01-0063>.

Lukas Baumann

blindrecalc

Blinded Sample Size Recalculation

Maximilian Pilz

Institute of Medical Biometry - University of Heidelberg 

pow,ChiSquare-method function

<dl><dt>design</dt>
<dd>Object of class <code>ChiSquare</code> created by <code>setupChiSquare</code>.</dd>
<dt>n1</dt>
<dd>Either the sample size of the first stage (if
<code>recalculation = TRUE</code> or the total sample size (if
<code>recalculation = FALSE</code>).</dd>
<dt>nuisance</dt>
<dd>Value of the nuisance parameter in (0,1). For the
Chi-Squared test this is the overall response rate.</dd>
<dt>recalculation</dt>
<dd>Should the sample size be recalculated after n1
patients are recruited?</dd>
<dt>allocation</dt>
<dd>Whether the allocation ratio should be preserved
exactly (<code>exact</code>) or approximately (<code>approximate</code>
or <code>kf_approx</code>). <code>appproximate</code> uses the unrounded calculated
sample size in the sample size recalculation, <code>kf_approx</code>
rounds the sample size to the next integer.</dd>
<dt>...</dt>
<dd>Further optional arguments.</dd></dl>

Arguments

Power — pow,ChiSquare-method

<dl>

<dt>design</dt>
<dd>Object of class <code>ChiSquare</code> created by <code>setupChiSquare</code>.</dd>


<dt>n1</dt>
<dd>Either the sample size of the first stage (if
<code>recalculation = TRUE</code> or the total sample size (if
<code>recalculation = FALSE</code>).</dd>


<dt>nuisance</dt>
<dd>Value of the nuisance parameter in (0,1). For the
Chi-Squared test this is the overall response rate.</dd>


<dt>recalculation</dt>
<dd>Should the sample size be recalculated after n1
patients are recruited?</dd>


<dt>allocation</dt>
<dd>Whether the allocation ratio should be preserved
exactly (<code>exact</code>) or approximately (<code>approximate</code>
or <code>kf_approx</code>). <code>appproximate</code> uses the unrounded calculated
sample size in the sample size recalculation, <code>kf_approx</code>
rounds the sample size to the next integer.</dd>


<dt>...</dt>
<dd>Further optional arguments.</dd>

</dl>

pow,ChiSquare-method: Power

Description

Usage

Value

Arguments

Details

Examples