drawDiagramGeneric

Finds single- and two-arm designs using stochastic curtailment, as described by Law et al. (2022) <doi:10.1080/10543406.2021.2009498> and Law et al. (2021) <doi:10.1002/pst.2067> respectively. Designs can be single-stage or multi-stage. Non-stochastic curtailment is possible as a special case. Desired error-rates, maximum sample size and lower and upper anticipated response rates are inputted and suitable designs are returned with operating characteristics. Stopping boundaries and visualisations are also available. The package can find designs using other approaches, for example designs by Simon (1989) <doi:10.1016/0197-2456(89)90015-9> and Mander and Thompson (2010) <doi:10.1016/j.cct.2010.07.008>. Other features: compare and visualise designs using a weighted sum of expected sample sizes under the null and alternative hypotheses and maximum sample size; visualise any binary outcome design.

Martin Law

curtailment

Finds Binary Outcome Designs Using Stochastic Curtailment

drawDiagramGeneric function

<dl><dt>n</dt>
<dd>Maximum sample size</dd>
<dt>go</dt>
<dd>Two-column matrix detailing stopping boundaries for a go decision
or efficacy stopping, where the first column contains the number of responses and
the second column contains the corresponding number of participants so far.</dd>
<dt>nogo</dt>
<dd>Two-column matrix detailing stopping boundaries for a no go decision
or futility stopping, where the first column contains the number of responses and
the second column contains the corresponding number of participants so far.</dd>
<dt>xmax</dt>
<dd>Optional. Maximum value for x axis.</dd>
<dt>ymax</dt>
<dd>Optional. Maximum value for y axis.</dd>
<dt>ylab</dt>
<dd>Optional. Label for y axis.</dd></dl>

Arguments

Martin Law, <a href="/link/martin.law%40mrc-bsu.cam.ac.uk?package=curtailment&version=0.2.6" data-mini-rdoc="curtailment::martin.law@mrc-bsu.cam.ac.uk">martin.law@mrc-bsu.cam.ac.uk</a>

Author

drawDiagramGeneric — drawDiagramGeneric

<dl>

<dt>n</dt>
<dd>Maximum sample size</dd>


<dt>go</dt>
<dd>Two-column matrix detailing stopping boundaries for a go decision
or efficacy stopping, where the first column contains the number of responses and
the second column contains the corresponding number of participants so far.</dd>


<dt>nogo</dt>
<dd>Two-column matrix detailing stopping boundaries for a no go decision
or futility stopping, where the first column contains the number of responses and
the second column contains the corresponding number of participants so far.</dd>


<dt>xmax</dt>
<dd>Optional. Maximum value for x axis.</dd>


<dt>ymax</dt>
<dd>Optional. Maximum value for y axis.</dd>


<dt>ylab</dt>
<dd>Optional. Label for y axis.</dd>

</dl>

Martin Law, <a href='mailto:martin.law@mrc-bsu.cam.ac.uk'>martin.law@mrc-bsu.cam.ac.uk</a>

drawDiagramGeneric: drawDiagramGeneric

Description

Usage

Value

Arguments

Author

Examples