brcancer


See <a href="http://www.stata-press.com/data/r11/brcancer.dta">http://www.stata-press.com/data/r11/brcancer.dta</a>.


datasets

R implementation of generalized survival models, where g(S(t|x))=eta(t,x) for a link function g, survival S at time t with covariates x and a linear predictor eta(t,x). The main assumption is that the time effect(s) are smooth. For fully parametric models, this re-implements Stata's 'stpm2' function, which are flexible parametric survival models developed by Royston and colleagues. We have extended the parametric models to include any smooth parametric smoothers for time. We have also extended the model to include any smooth penalized smoothers from the 'mgcv' package, using penalized likelihood. These models include left truncation, right censoring, interval censoring, gamma frailties and normal random effects.

Mark Clements

rstpm2

Generalized Survival Models

brcancer function

A data frame with 686 observations on the following 15 variables.
  <dl>
    <dt><code>id</code></dt><dd>a numeric vector</dd> <dt><code>hormon</code></dt><dd>hormonal therapy</dd> <dt><code>x1</code></dt><dd>age, years</dd> <dt><code>x2</code></dt><dd>menopausal status</dd> <dt><code>x3</code></dt><dd>tumour size, mm</dd> <dt><code>x4</code></dt><dd>tumour grade</dd> <dt><code>x5</code></dt><dd>number of positive nodes</dd> <dt><code>x6</code></dt><dd>progesterone receptor, fmol</dd> <dt><code>x7</code></dt><dd>estrogen receptor, fmol</dd> <dt><code>rectime</code></dt><dd>recurrence free survival time, days</dd> <dt><code>censrec</code></dt><dd>censoring indicator</dd> <dt><code>x4a</code></dt><dd>tumour grade>=2</dd> <dt><code>x4b</code></dt><dd>tumour grade==3</dd> <dt><code>x5e</code></dt><dd>exp(-0.12*x5)</dd> </dl> 

brcancer: German breast cancer data from Stata.

Description

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Examples