<code>dat</code> is a data frame used in the example of <code><a rd-options="gim" href="/link/gim?package=gim&version=0.33.1&to=gim" data-mini-rdoc="gim::gim">gim</a></code>.

datasets

Implements the generalized integration model, which integrates individual-level data and summary statistics under a generalized linear model framework. It supports continuous and binary outcomes to be modeled by the linear and logistic regression models. For binary outcome, data can be sampled in prospective cohort studies or case-control studies. Described in Zhang et al. (2020)<doi:10.1093/biomet/asaa014>.

Han Zhang

Generalized Integration Model

dat function

A data frame with 4000 observations on the following 6 variables.<dl class="dl-horizontal">
 <dt><code>y</code></dt><dd>a continuous outcome</dd>
 <dt><code>d</code></dt><dd>a binary outcome</dd>
 <dt><code>x1</code></dt><dd>a numeric variable</dd>
 <dt><code>x2</code></dt><dd>a numeric variable</dd>
 <dt><code>x3</code></dt><dd>a numeric variable</dd>
 <dt><code>x4</code></dt><dd>a character variable</dd>
 </dl>

Format

<code>dat</code> is a data frame used in the example of <code><a rd-options='gim' href='gim'>gim</a></code>.

Data for example in <code><a rd-options='gim' href='gim'>gim</a></code> — dat

A data frame with 4000 observations on the following 6 variables.<dl class='dl-horizontal'>
 <dt><code>y</code></dt><dd>a continuous outcome</dd>
 <dt><code>d</code></dt><dd>a binary outcome</dd>
 <dt><code>x1</code></dt><dd>a numeric variable</dd>
 <dt><code>x2</code></dt><dd>a numeric variable</dd>
 <dt><code>x3</code></dt><dd>a numeric variable</dd>
 <dt><code>x4</code></dt><dd>a character variable</dd>
 </dl>

dat: Data for example in `gim`

Description

Usage

Arguments

Format

Details