Sample of 75 hospital for major cardiovascular interventions

datasets

R functions for the computation of the truncated maximum
likelihood and the robust accelerated failure time regression
for gaussian and log-Weibull case.

A. Randriamiharisoa

RobustAFT

Truncated Maximum Likelihood Fit and Robust Accelerated Failure
Time Regression for Gaussian and Log-Weibull Case

MCI function

A data frame with 75 observations on the following 6 variables.<dl>
 <dt><code>Sex</code></dt>
<dd>Gender: 1=Female, 2=Male</dd> <dt><code>Age</code></dt>
<dd>Age in years</dd> <dt><code>LOS</code></dt>
<dd>Length of stay (days)</dd> <dt><code>TypAdm</code></dt>
<dd>Type of admission: 1=Emergency 0=on notification</dd> <dt><code>Dest</code></dt>
<dd>Destination: 1=Home 0=another hospital</dd> <dt><code>Cost</code></dt>
<dd>Cost (Swiss francs)</dd> 
</dl>

Format

Sample of 75 Hospital Stays — MCI

A data frame with 75 observations on the following 6 variables.<dl>
 <dt><code>Sex</code></dt>
<dd>Gender: 1=Female, 2=Male</dd>

 <dt><code>Age</code></dt>
<dd>Age in years</dd>

 <dt><code>LOS</code></dt>
<dd>Length of stay (days)</dd>

 <dt><code>TypAdm</code></dt>
<dd>Type of admission: 1=Emergency 0=on notification</dd>

 <dt><code>Dest</code></dt>
<dd>Destination: 1=Home 0=another hospital</dd>

 <dt><code>Cost</code></dt>
<dd>Cost (Swiss francs)</dd>

 
</dl>

MCI: Sample of 75 Hospital Stays

Description

Usage

Arguments

Format

Examples