Chen_2016_event_time

generate event time under the delay-treatment effect and cured population setting

Predicts enrollment and events assumed enrollment and treatment-specific time-to-event models, and calculates test statistics for time-to-event data with cured population based on the simulation.Methods for prediction event in the existence of cured population are as described in : Chen, Tai-Tsang(2016) <doi:10.1186/s12874-016-0117-3>.

Bo Wei

EventPredInCure

Event Prediction Including Cured Population

Kaifeng Lu

Brent McHenry

Chen_2016_event_time function

<dl><dt>u</dt>
<dd>a scalar with between 0 and 1</dd>
<dt>hr</dt>
<dd>hazard ratio if this subject in the corresponding arm vs control arm</dd>
<dt>distribution</dt>
<dd>the distribution for the control arm, valid values of inputs include: exponential, weibull, log-normal, log-logistic</dd>
<dt>p</dt>
<dd>the proportion of cured population in the control arm</dd>
<dt>lag</dt>
<dd>delayed treatment effect time after treatment initialization, when the hr between treatment arm and control =1 until lag time</dd>
<dt>a</dt>
<dd>the shape parameter in the Weibull or the log-logistic distribution</dd>
<dt>b</dt>
<dd>the scale parameter in the exponential, Weibull or the log-logistic distribution</dd>
<dt>mu</dt>
<dd>the mean in the log-normal distribution</dd>
<dt>sd</dt>
<dd>the standard deviation in the log-normal distribution</dd></dl>

Arguments

Function to generate event time in the existence of cured population — Chen_2016_event_time

<dl>

<dt>u</dt>
<dd>a scalar with between 0 and 1</dd>


<dt>hr</dt>
<dd>hazard ratio if this subject in the corresponding arm vs control arm</dd>


<dt>distribution</dt>
<dd>the distribution for the control arm, valid values of inputs include: exponential, weibull, log-normal, log-logistic</dd>


<dt>p</dt>
<dd>the proportion of cured population in the control arm</dd>


<dt>lag</dt>
<dd>delayed treatment effect time after treatment initialization, when the hr between treatment arm and control =1 until lag time</dd>


<dt>a</dt>
<dd>the shape parameter in the Weibull or the log-logistic distribution</dd>


<dt>b</dt>
<dd>the scale parameter in the exponential, Weibull or the log-logistic distribution</dd>


<dt>mu</dt>
<dd>the mean in the log-normal distribution</dd>


<dt>sd</dt>
<dd>the standard deviation in the log-normal distribution</dd>

</dl>

Chen_2016_event_time: Function to generate event time in the existence of cured population

Description

Usage

Value

Arguments

References