kidney

<p>Data on the recurrence times to infection, at the point of insertion of
  the catheter, for kidney patients using portable dialysis equipment.
  Catheters may be removed for reasons other than infection, in which case
  the observation is censored.  Each patient has exactly 2 observations.</p>
<p>This data has often been used to illustrate the use of random effects
(frailty) in a survival model.  However, one of the males (id 21) is a
large outlier, with much longer survival than his peers.  If this
observation is removed no evidence remains for a random subject effect.</p>

survival

Contains the core survival analysis routines, including
definition of Surv objects,
Kaplan-Meier and Aalen-Johansen (multi-state) curves, Cox models,
and parametric accelerated failure time models.

Terry Therneau

Survival Analysis

Thomas Lumley

kidney function

<table><tr><td>
patient:</td>
<td> id</td>
</tr><tr><td>
time:</td>
<td> time</td>
</tr><tr><td>
status:</td>
<td> event status</td>
</tr><tr><td>
age:</td>
<td> in years</td>
</tr><tr><td>
sex:</td>
<td> 1=male, 2=female</td>
</tr><tr><td>
disease:</td>
<td>  disease type (0=GN, 1=AN, 2=PKD, 3=Other)</td>
</tr><tr><td>
frail:</td>
<td> frailty estimate from original paper</td>
</tr></table>

kidney: Kidney catheter data

Description

Arguments

Format

Examples

patient:	id
time:	time
status:	event status
age:	in years
sex:	1=male, 2=female
disease:	disease type (0=GN, 1=AN, 2=PKD, 3=Other)
frail:	frailty estimate from original paper