milestone

Milestone test for two survival curves

Provides some basic routines for simulating a
clinical trial. The primary intent is to provide some tools to
generate trial simulations for trials with time to event outcomes.
Piecewise exponential failure rates and piecewise constant
enrollment rates are the underlying mechanism used to simulate
a broad range of scenarios such as those presented in
Lin et al. (2020) <doi:10.1080/19466315.2019.1697738>.
However, the basic generation of data is done using pipes to allow
maximum flexibility for users to meet different needs.

Yujie Zhao

simtrial

Clinical Trial Simulation

Keaven Anderson

John Blischak

Nan Xiao

Yilong Zhang

Jianxiao Yang

Lili Ling

Xintong Li

Ruixue Wang

Yi Cui

Ping Yang

Yalin Zhu

Heng Zhou

Amin Shirazi

Cole Manschot

Larry Leon

Merck & Co., Inc., Rahway, NJ, USA and its affiliates 

milestone function

<dl><dt>data</dt>
<dd>Data frame containing at least 3 columns:<ul>
<li><code>tte</code> - Time to event.</li>
<li><code>event</code> - Event indicator.</li>
<li><code>treatment</code> - Grouping variable.</li>
</ul></dd>
<dt>ms_time</dt>
<dd>Milestone analysis time.</dd>
<dt>test_type</dt>
<dd>Method to build the test statistics.
There are 2 options:<ul>
<li><code>"native"</code>: a native approach by dividing the KM survival difference by its standard derivations,
see equation (1) of Klein, J. P., Logan, B., Harhoff, M., &amp; Andersen, P. K. (2007).</li>
<li><code>"log-log"</code>: a log-log transformation of the survival, see equation (3) of
Klein, J. P., Logan, B., Harhoff, M., &amp; Andersen, P. K. (2007).</li>
</ul></dd></dl>

Arguments

Milestone test for two survival curves — milestone

<dl>

<dt>data</dt>
<dd>Data frame containing at least 3 columns:<ul>
<li><code>tte</code> - Time to event.</li>
<li><code>event</code> - Event indicator.</li>
<li><code>treatment</code> - Grouping variable.</li>
</ul></dd>


<dt>ms_time</dt>
<dd>Milestone analysis time.</dd>


<dt>test_type</dt>
<dd>Method to build the test statistics.
There are 2 options:<ul>
<li><code>"native"</code>: a native approach by dividing the KM survival difference by its standard derivations,
see equation (1) of Klein, J. P., Logan, B., Harhoff, M., &amp; Andersen, P. K. (2007).</li>
<li><code>"log-log"</code>: a log-log transformation of the survival, see equation (3) of
Klein, J. P., Logan, B., Harhoff, M., &amp; Andersen, P. K. (2007).</li>
</ul></dd>

</dl>

Milestone test for two survival curves

milestone: Milestone test for two survival curves

Description

Usage

Value

Arguments

References

Examples