hospital

A data set containing simulated readmissions data for 500 hospitals with
three continuous covariates. This data needs to be processed with <code>fe.data.prep</code>.

datasets

A structured profile likelihood algorithm for the logistic fixed effects model and an approximate expectation maximization (EM) algorithm for the logistic mixed effects model. Based on He, K., Kalbfleisch, J.D., Li, Y. and Li, Y. (2013) <doi:10.1007/s10985-013-9264-6>.

Michael Kleinsasser

FEprovideR

Fixed Effects Logistic Model with High-Dimensional Parameters

Kevin(Zhi) He

Wenbo Wu

hospital function

A <code>data.frame</code> with 24438 rows and 5 variables (columns):<dl class="dl-horizontal">
<dt>Y</dt><dd>Indicator for readmission; 1=Yes, 0=No; numeric</dd>
<dt>prov.ID</dt><dd>Provider ID; numeric</dd>
<dt>z1</dt><dd>Simulated covariate 1, numeric</dd>
<dt>z2</dt><dd>Simulated covariate 2, numeric</dd>
<dt>z3</dt><dd>Simulated covariate 3, numeric</dd>
</dl>

Format

Simulated readmissions data for 500 hospitals — hospital

A <code>data.frame</code> with 24438 rows and 5 variables (columns):<dl class='dl-horizontal'>
<dt>Y</dt><dd>Indicator for readmission; 1=Yes, 0=No; numeric</dd>
<dt>prov.ID</dt><dd>Provider ID; numeric</dd>
<dt>z1</dt><dd>Simulated covariate 1, numeric</dd>
<dt>z2</dt><dd>Simulated covariate 2, numeric</dd>
<dt>z3</dt><dd>Simulated covariate 3, numeric</dd>
</dl>

hospital: Simulated readmissions data for 500 hospitals

Description

Usage

Arguments

Format