childvisit

The response vector consists of quarterly numbers of hospital visits over a
one year period for a child age at four or younger, and three baseline covariates
are age, sex, and maternal smoking status. The sample size of this study is \(n=73\)
children.

datasets

The weighted scores method and composite likelihood information criteria as an intermediate step for variable/correlation selection for longitudinal ordinal and count data in Nikoloulopoulos, Joe and Chaganty (2011) <doi:10.1093/biostatistics/kxr005>, Nikoloulopoulos (2016) <doi:10.1002/sim.6871> and Nikoloulopoulos (2017) <arXiv:1510.07376>.

Aristidis Nikoloulopoulos

weightedScores

Weighted Scores Method for Regression Models with Dependent Data

Aristidis K. Nikoloulopoulos

Harry Joe

childvisit function

A data frame with 292 observations on the following 6 variables.<dl class="dl-horizontal">
 <dt><code>id</code></dt><dd>The child ID.</dd>
 <dt><code>age</code></dt><dd>The age in months.</dd>
 <dt><code>sex</code></dt><dd>The sex indicator.</dd>
 <dt><code>matsmst</code></dt><dd>The maternal smoking status.</dd>
 <dt><code>quarter</code></dt><dd>The time indicator.</dd>
 <dt><code>hospvis</code></dt><dd>The response vector of quarterly numbers of hospital visits.</dd>
 </dl>

Format

Hospital Visit Data — childvisit

A data frame with 292 observations on the following 6 variables.<dl class='dl-horizontal'>
 <dt><code>id</code></dt><dd>The child ID.</dd>
 <dt><code>age</code></dt><dd>The age in months.</dd>
 <dt><code>sex</code></dt><dd>The sex indicator.</dd>
 <dt><code>matsmst</code></dt><dd>The maternal smoking status.</dd>
 <dt><code>quarter</code></dt><dd>The time indicator.</dd>
 <dt><code>hospvis</code></dt><dd>The response vector of quarterly numbers of hospital visits.</dd>
 </dl>

childvisit: Hospital Visit Data

Description

Usage

Arguments

Format