ex_IC

The data <code>ex_IC</code> is a virtual data set created to show how to utilize the package. <code>ex_IC</code> is interval censored data. See <code>ex_ICLT</code> for interval censored and left truncated data.

datasets

Penalized variable selection tools for the Cox
proportional hazards model with interval censored and possibly
left truncated data. It performs variable selection via
penalized nonparametric maximum likelihood estimation with an
adaptive lasso penalty. The optimal thresholding parameter can be
searched by the package based on the profile Bayesian information
criterion (BIC). The asymptotic validity of the methodology is
established in Li et al. (2019 <doi:10.1177/0962280219856238>).
The unpenalized nonparametric maximum likelihood estimation for
interval censored and possibly left truncated data is also
available.

Daewoo Pak

ALassoSurvIC

Adaptive Lasso for the Cox Regression with Interval Censored and
Possibly Left Truncated Data

ex_IC function

The data have the following columns:<dl>
 <dt><code>lowerIC</code></dt>
<dd>The lower limit of the censoring interval.</dd> <dt><code>upperIC</code></dt>
<dd>The upper limit of the censoring interval.</dd> <dt><code>trunc</code></dt>
<dd>The vector of left truncated points.</dd> <dt><code>X1 - X6</code></dt>
<dd>The covariate vectors used for variable selection.</dd> 
</dl>

Format

Virtual data set for interval censored data — ex_IC

The data have the following columns:<dl>
 <dt><code>lowerIC</code></dt>
<dd>The lower limit of the censoring interval.</dd>

 <dt><code>upperIC</code></dt>
<dd>The upper limit of the censoring interval.</dd>

 <dt><code>trunc</code></dt>
<dd>The vector of left truncated points.</dd>

 <dt><code>X1 - X6</code></dt>
<dd>The covariate vectors used for variable selection.</dd>

 
</dl>

ex_IC: Virtual data set for interval censored data

Description

Usage

Arguments

Format

See Also

Examples