los.data

The <code>los.data</code> data frame has 756 rows, one row for
 each patient, and 7 columns.

datasets

The etm (empirical transition matrix) package permits to estimate the matrix of transition probabilities for any time-inhomogeneous multi-state model with finite state space using the Aalen-Johansen estimator. Functions for data preparation and for displaying are also included (Allignol et al., 2011 <doi:10.18637/jss.v038.i04>). Functionals of the Aalen-Johansen estimator, e.g., excess length-of-stay in an intermediate state, can also be computed (Allignol et al. 2011 <doi:10.1007/s00180-010-0200-x>).

Mark Clements

Empirical Transition Matrix

Arthur Allignol

los.data function

A data frame with the following columns:<dl>
 <dt>adm.id</dt>
<dd>admision id of the patient</dd> <dt>j.01</dt>
<dd>observed time for jump from 0 (initial state) to 1
 (intermediate state)</dd> <dt>j.02</dt>
<dd>observed time for jump from 0 to 2 (discharge)</dd> <dt>j.03</dt>
<dd>observed time for jump from 0 to 3 (death)</dd> <dt>j.12</dt>
<dd>observed time for jump from 1 to 2</dd> <dt>j.13</dt>
<dd>observed time for jump from 1 to 3</dd> <dt>cens</dt>
<dd>censoring time (either in initial or intermediate state)</dd> 
</dl>

Format

Length of hospital stay — los.data

A data frame with the following columns:<dl>
 <dt>adm.id</dt>
<dd>admision id of the patient</dd>

 <dt>j.01</dt>
<dd>observed time for jump from 0 (initial state) to 1
 (intermediate state)</dd>

 <dt>j.02</dt>
<dd>observed time for jump from 0 to 2 (discharge)</dd>

 <dt>j.03</dt>
<dd>observed time for jump from 0 to 3 (death)</dd>

 <dt>j.12</dt>
<dd>observed time for jump from 1 to 2</dd>

 <dt>j.13</dt>
<dd>observed time for jump from 1 to 3</dd>

 <dt>cens</dt>
<dd>censoring time (either in initial or intermediate state)</dd>

 
</dl>

los.data: Length of hospital stay

Description

Usage

Arguments

Format

Examples