generateSurvData

Generate Survival Data which Can Be Analysed With the `survival` Package

Functions to design and apply tests that are anytime valid. The
functions can be used to design hypothesis tests in the prospective/randomised
control trial setting or in the observational/retrospective setting. The
resulting tests remain valid under both optional stopping and optional
continuation. The current version includes safe t-tests and safe tests of
two proportions. For details on the theory of safe tests, see
Grunwald, de Heide and Koolen (2019) "Safe Testing" <arXiv:1906.07801>,
for details on safe logrank tests see ter Schure, Perez-Ortiz, Ly and Grunwald
(2020) "The Safe Logrank Test: Error Control under Continuous Monitoring with
Unlimited Horizon" <arXiv:2011.06931v3> and Turner, Ly and Grunwald (2021)
"Safe Tests and Always-Valid Confidence Intervals for contingency tables and
beyond" <arXiv:2106.02693> for details on safe contingency table tests.

Alexander Ly

safestats

Safe Anytime-Valid Inference

Rosanne Turner

Muriel Felipe Perez-Ortiz

Judith ter Schure

Peter Grunwald

generateSurvData function

<dl><dt>nP</dt>
<dd>integer &gt; 0 representing the number of of patients in the placebo group.</dd>
<dt>nT</dt>
<dd>integer &gt; 0 representing the number of of patients in the treatment group.</dd>
<dt>alpha</dt>
<dd>numeric &gt; 0, representing the shape parameter of the Weibull distribution.
If alpha=1, then data are generated from the exponential, i.e., constant hazard. For alpha &gt; 1
the hazard increases, if alpha &lt; 1, the hazard decreases.</dd>
<dt>lambdaP</dt>
<dd>The (relative) hazard of the placebo group.</dd>
<dt>lambdaT</dt>
<dd>The (relative) hazard of the treatment group.</dd>
<dt>seed</dt>
<dd>A seed number.</dd>
<dt>nDigits</dt>
<dd>numeric, the number of digits to round of the random time to</dd>
<dt>startTime</dt>
<dd>numeric, adds this to the random times. Default 1, so the startTime is not 0, which
is the start time of <code><a href="/link/rweibull?package=safestats&version=0.8.7" data-mini-rdoc="safestats::rweibull">rweibull</a></code>.</dd>
<dt>endTime</dt>
<dd>The endtime of the experiment.</dd>
<dt>orderTime</dt>
<dd>logical, if <code>TRUE</code> then put the data set in increasing order</dd>
<dt>competeRatio</dt>
<dd>The ratio of the data that is due to competing risk.</dd></dl>

Arguments

Generate Survival Data which Can Be Analysed With the `survival` Package — generateSurvData

<dl>

<dt>nP</dt>
<dd>integer &gt; 0 representing the number of of patients in the placebo group.</dd>


<dt>nT</dt>
<dd>integer &gt; 0 representing the number of of patients in the treatment group.</dd>


<dt>alpha</dt>
<dd>numeric &gt; 0, representing the shape parameter of the Weibull distribution.
If alpha=1, then data are generated from the exponential, i.e., constant hazard. For alpha &gt; 1
the hazard increases, if alpha &lt; 1, the hazard decreases.</dd>


<dt>lambdaP</dt>
<dd>The (relative) hazard of the placebo group.</dd>


<dt>lambdaT</dt>
<dd>The (relative) hazard of the treatment group.</dd>


<dt>seed</dt>
<dd>A seed number.</dd>


<dt>nDigits</dt>
<dd>numeric, the number of digits to round of the random time to</dd>


<dt>startTime</dt>
<dd>numeric, adds this to the random times. Default 1, so the startTime is not 0, which
is the start time of <code><a href='https://rdrr.io/r/stats/Weibull.html'>rweibull</a></code>.</dd>


<dt>endTime</dt>
<dd>The endtime of the experiment.</dd>


<dt>orderTime</dt>
<dd>logical, if <code>TRUE</code> then put the data set in increasing order</dd>


<dt>competeRatio</dt>
<dd>The ratio of the data that is due to competing risk.</dd>

</dl>

generateSurvData: Generate Survival Data which Can Be Analysed With the `survival` Package

Description

Usage

Value

Arguments

Examples