sim.cureph.data

cureph.simgen

A simulated data for <code>cureph</code> example.

Expectation-Maximization (EM) algorithm for point estimation and variance estimation to
the nonparametric maximum likelihood estimator (NPMLE) for
logistic-Cox cure-rate model with left truncation and right-
censoring. See Hou, Chambers and Xu (2017) <doi:10.1007/s10985-017-9415-2>.

Jue Hou

curephEM

NPMLE for Logistic-Cox Cure-Rate Model

Evan Ren

sim.cureph.data function

A data frame with 200 observations on the following 7 variables.<dl>
 <dt><code>time</code></dt>
<dd>entry time.</dd> <dt><code>time2</code></dt>
<dd>exit time.</dd> <dt><code>event</code></dt>
<dd>binary event indicator.</dd> <dt><code>Z1</code></dt>
<dd>numerical vector.</dd> <dt><code>Z2</code></dt>
<dd>factor with levels '0' and '1'.</dd> <dt><code>Z3</code></dt>
<dd>factor with levels 'A', 'B' and 'C'.</dd> <dt><code>Z4</code></dt>
<dd>factor with levels '0', '1' and '2', colinear with <code>Z2</code> and <code>Z3</code>.</dd> <dt><code>attr(,"true.coef")</code></dt>
<dd>the true coefficients.</dd> <dt><code>attr(,"true.surv0")</code></dt>
<dd>the true baseline survival function.</dd> 
</dl>

Format

Simulated Data for cureph — sim.cureph.data

A data frame with 200 observations on the following 7 variables.<dl>
 <dt><code>time</code></dt>
<dd>entry time.</dd>

 <dt><code>time2</code></dt>
<dd>exit time.</dd>

 <dt><code>event</code></dt>
<dd>binary event indicator.</dd>

 <dt><code>Z1</code></dt>
<dd>numerical vector.</dd>

 <dt><code>Z2</code></dt>
<dd>factor with levels '0' and '1'.</dd>

 <dt><code>Z3</code></dt>
<dd>factor with levels 'A', 'B' and 'C'.</dd>

 <dt><code>Z4</code></dt>
<dd>factor with levels '0', '1' and '2', colinear with <code>Z2</code> and <code>Z3</code>.</dd>

 <dt><code>attr(,"true.coef")</code></dt>
<dd>the true coefficients.</dd>

 <dt><code>attr(,"true.surv0")</code></dt>
<dd>the true baseline survival function.</dd>

 
</dl>

sim.cureph.data: Simulated Data for `cureph`

Description

Usage

Arguments

Format