demo

groupNames

naturalGroupProp

A dataset containing example data for demonstration purposes.

Implementation of integrative weighting approaches for multiple observational studies and causal inferences. The package features three weighting approaches, each representing a special case of the unified weighting framework, introduced by Guha and Li (2024) <doi:10.1093/biomtc/ujae070>, which includes an extension of inverse probability weights for data integration settings.

Subharup Guha

WMAP

Weighted Meta-Analysis with Pseudo-Populations

Mengqi Xu

Kashish Priyam

Yi Li

demo function

An rda object, with 450 observations and the following variables:<dl>
<dt>S</dt>
<dd>A vector of factor levels, representing the study memberships.</dd><dt>Z</dt>
<dd>A vector of factor levels, representing the group memberships.</dd><dt>X</dt>
<dd>A covariate matrix.</dd><dt>Y</dt>
<dd>An outcome matrix.</dd><dt>naturalGroupProp</dt>
<dd>The relative group prevalences of the larger natural population. Necessary only for FLEXOR weights; it should be skipped for IC and IGO weights.</dd><dt>groupNames</dt>
<dd>Disease subtype names "IDC" or "ILC"</dd>
</dl>

Format

Demo Dataset — demo

An rda object, with 450 observations and the following variables:<dl>
<dt>S</dt>
<dd>A vector of factor levels, representing the study memberships.</dd>

<dt>Z</dt>
<dd>A vector of factor levels, representing the group memberships.</dd>

<dt>X</dt>
<dd>A covariate matrix.</dd>

<dt>Y</dt>
<dd>An outcome matrix.</dd>

<dt>naturalGroupProp</dt>
<dd>The relative group prevalences of the larger natural population. Necessary only for FLEXOR weights; it should be skipped for IC and IGO weights.</dd>

<dt>groupNames</dt>
<dd>Disease subtype names "IDC" or "ILC"</dd>


</dl>

demo: Demo Dataset

Description

Usage

Arguments

Format

Details

Examples