datasets

An introductory probability and statistics textbook, alongside other supplementary materials.  The book is released under the GNU Free Documentation License.

G. Jay Kerns

IPSUR

Introduction to Probability and Statistics Using R

ED function

A data frame with 164 observations of 8 variables.<dl class="dl-horizontal">
 <dt><code>ED</code></dt><dd>BLANK</dd>
 <dt><code>model</code></dt><dd>Model of care (A, B, or C (usual care)</dd>
 <dt><code>los</code></dt><dd>Length of stay in days</dd>
 <dt><code>age</code></dt><dd>Age of patient in years</dd>
 <dt><code>gender</code></dt><dd>Male or female</dd>
 <dt><code>cci</code></dt><dd>Charelson Comorbidity Index</dd>
 <dt><code>LACE</code></dt><dd>LACE index: predicts likelihood of readmission or death</dd>
 <dt><code>readmit</code></dt><dd>Factor indicating whether patient was readmitted within 30 days post-discharge</dd>
 <dt><code>visit</code></dt><dd>Factor indicating whether patient visited the Emergency Department within 30 days post-discharge</dd>
 </dl>

Format

Hospital Emergency Department Visits and Readmission Rates — ED

A data frame with 164 observations of 8 variables.<dl class='dl-horizontal'>
 <dt><code>ED</code></dt><dd>BLANK</dd>
 <dt><code>model</code></dt><dd>Model of care (A, B, or C (usual care)</dd>
 <dt><code>los</code></dt><dd>Length of stay in days</dd>
 <dt><code>age</code></dt><dd>Age of patient in years</dd>
 <dt><code>gender</code></dt><dd>Male or female</dd>
 <dt><code>cci</code></dt><dd>Charelson Comorbidity Index</dd>
 <dt><code>LACE</code></dt><dd>LACE index: predicts likelihood of readmission or death</dd>
 <dt><code>readmit</code></dt><dd>Factor indicating whether patient was readmitted within 30 days post-discharge</dd>
 <dt><code>visit</code></dt><dd>Factor indicating whether patient visited the Emergency Department within 30 days post-discharge</dd>
 </dl>

ED: Hospital Emergency Department Visits and Readmission Rates

Description

Usage

Arguments

Format