laryngeal

Survival data of male patients with larynx cancer from
 Section 1.8 of Klein and Moeschberger (2003).

datasets

Laplace approximations and penalized B-splines are combined
for fast Bayesian inference in latent Gaussian models. The routines can be
used to fit survival models, especially proportional hazards and promotion
time cure models (Gressani, O. and Lambert, P. (2018)
<doi:10.1016/j.csda.2018.02.007>). The Laplace-P-spline methodology can also
be implemented for inference in (generalized) additive models
(Gressani, O. and Lambert, P. (2021) <doi:10.1016/j.csda.2020.107088>).
See the associated website for more information and examples.

Oswaldo Gressani

blapsr

Bayesian Inference with Laplace Approximations and P-Splines

Philippe Lambert

laryngeal function

A data frame with 90 rows and 5 columns.<dl>
 <dt><code>stage</code></dt>
<dd>Stage of disease.</dd> <dt><code>time</code></dt>
<dd>Time to death in months.</dd> <dt><code>age</code></dt>
<dd>Age at diagnosis of larynx cancer.</dd> <dt><code>diagyr</code></dt>
<dd>Year of diagnosis of larynx cancer.</dd> <dt><code>delta</code></dt>
<dd>Event indicator, <code>1</code>=Dead, <code>0</code>=Alive.</dd>
</dl>

Format

Survival data of male laryngeal cancer patients. — laryngeal

A data frame with 90 rows and 5 columns.<dl>
 <dt><code>stage</code></dt>
<dd>Stage of disease.</dd>

 <dt><code>time</code></dt>
<dd>Time to death in months.</dd>

 <dt><code>age</code></dt>
<dd>Age at diagnosis of larynx cancer.</dd>

 <dt><code>diagyr</code></dt>
<dd>Year of diagnosis of larynx cancer.</dd>

 <dt><code>delta</code></dt>
<dd>Event indicator, <code>1</code>=Dead, <code>0</code>=Alive.</dd>


</dl>

laryngeal: Survival data of male laryngeal cancer patients.

Description

Usage

Arguments

Format

References