brcancer

A data frame containing the observations from the GBSG2 study.
This is taken almost verbatim from the <code>TH.data</code> package.

datasets

Fit flexible and fully parametric hazard regression models to survival data with single event type or multiple
competing causes via logistic and multinomial regression. Our formulation allows for arbitrary functional forms
of time and its interactions with other predictors for time-dependent hazards and hazard ratios. From the
fitted hazard model, we provide functions to readily calculate and plot cumulative incidence and survival
curves for a given covariate profile. This approach accommodates any log-linear hazard function of
prognostic time, treatment, and covariates, and readily allows for non-proportionality. We also provide
a plot method for visualizing incidence density via population time plots. Based on the case-base sampling
approach of Hanley and Miettinen (2009) <DOI:10.2202/1557-4679.1125>, Saarela and Arjas (2015) <DOI:10.1111/sjos.12125>,
and Saarela (2015) <DOI:10.1007/s10985-015-9352-x>.

Sahir Bhatnagar

casebase

Fitting Flexible Smooth-in-Time Hazards and Risk Functions via
Logistic and Multinomial Regression

Maxime Turgeon

Jesse Islam

Olli Saarela

James Hanley

brcancer function

This data frame contains the observations of 686 women:<dl class="dl-horizontal">
<dt>horTh</dt><dd>hormonal therapy, a factor at two levels <code>no</code> and
<code>yes</code>.</dd> <dt>hormon</dt><dd>numeric version of <code>horTh</code></dd> <dt>age</dt><dd>of the
patients in years.</dd> <dt>menostat</dt><dd>menopausal status, a factor at two
levels <code>pre</code> (premenopausal) and <code>post</code> (postmenopausal).</dd>
<dt>meno</dt><dd>Numeric version of <code>menostat</code></dd> <dt>tsize</dt><dd>tumor size (in
mm).</dd> <dt>tgrade</dt><dd>tumor grade, a ordered factor at levels <code>I &lt; II &lt;
 III</code>.</dd> <dt>pnodes</dt><dd>number of positive nodes.</dd> <dt>progrec</dt><dd>progesterone
receptor (in fmol).</dd> <dt>estrec</dt><dd>estrogen receptor (in fmol).</dd>
<dt>time</dt><dd>recurrence free survival time (in days).</dd> <dt>cens</dt><dd>censoring
indicator (0- censored, 1- event).</dd> </dl>

Format

German Breast Cancer Study Group 2 — brcancer

This data frame contains the observations of 686 women:<dl class='dl-horizontal'>
<dt>horTh</dt><dd>hormonal therapy, a factor at two levels <code>no</code> and
<code>yes</code>.</dd> <dt>hormon</dt><dd>numeric version of <code>horTh</code></dd> <dt>age</dt><dd>of the
patients in years.</dd> <dt>menostat</dt><dd>menopausal status, a factor at two
levels <code>pre</code> (premenopausal) and <code>post</code> (postmenopausal).</dd>
<dt>meno</dt><dd>Numeric version of <code>menostat</code></dd> <dt>tsize</dt><dd>tumor size (in
mm).</dd> <dt>tgrade</dt><dd>tumor grade, a ordered factor at levels <code>I &lt; II &lt;
 III</code>.</dd> <dt>pnodes</dt><dd>number of positive nodes.</dd> <dt>progrec</dt><dd>progesterone
receptor (in fmol).</dd> <dt>estrec</dt><dd>estrogen receptor (in fmol).</dd>
<dt>time</dt><dd>recurrence free survival time (in days).</dd> <dt>cens</dt><dd>censoring
indicator (0- censored, 1- event).</dd> </dl>

brcancer: German Breast Cancer Study Group 2

Description

Usage

Arguments

Format

References