loglik_Chen_log_logistic

Provide log-likelihood function for log-logistic distribution with cured population

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

loglik_Chen_log_logistic function

<dl><dt>par</dt>
<dd>a vector with three elements, where the first element denotes the logistic of the proportion
of the cured population, and the second element and the third element denote
the log of shape and the log of the scale parameter of the log-logistic distribution.</dd>
<dt>df</dt>
<dd>The subject-level event data, including <code>time</code>
and <code>event</code>.</dd></dl>

Arguments

Log-likelihood function for log-logistic distribution with cured population — loglik_Chen_log_logistic

<dl>

<dt>par</dt>
<dd>a vector with three elements, where the first element denotes the logistic of the proportion
of the cured population, and the second element and the third element denote
the log of shape and the log of the scale parameter of the log-logistic distribution.</dd>


<dt>df</dt>
<dd>The subject-level event data, including <code>time</code>
and <code>event</code>.</dd>

</dl>

loglik_Chen_log_logistic: Log-likelihood function for log-logistic distribution with cured population

Description

Usage

Value

Arguments

References