simdata.1

This dataset consists of a list of two data frames containing treatment effect-sizes and within-study covariance matrices

datasets

Performs multivariate meta-analysis for high-dimensional metabolomics data for integrating and collectively analysing individual-level data generated from multiple studies as well as for combining summary estimates. This approach accounts for correlation between outcomes, considers variability within and between studies, handles missing values and uses shrinkage estimation to allow for high dimensionality. A detailed vignette with example datasets and code to prepare data and analyses are available on <https://bookdown.org/a2delivera/MetaHD/>.

Jayamini Liyanage

MetaHD

A Multivariate Meta-Analysis Model for High-Dimensional
Metabolomics Data

Alysha De Livera

simdata.1 function

A list of data frames as follows:<dl>
 <dt><code>Y</code></dt>
<dd>treatment effect sizes of the metabolites in the form of a 12 x 30 matrix, where 12 is the number of studies and 30 is the number of metabolites.</dd> <dt><code>Slist</code></dt>
<dd>12-dimensional list of 30 x 30 matrices representing within-study variances and covariances of the treatment effects</dd> 
</dl>

Format

Simulated Dataset 1 : With Complete Data — simdata.1

A list of data frames as follows:<dl>
 <dt><code>Y</code></dt>
<dd>treatment effect sizes of the metabolites in the form of a 12 x 30 matrix, where 12 is the number of studies and 30 is the number of metabolites.</dd>

 <dt><code>Slist</code></dt>
<dd>12-dimensional list of 30 x 30 matrices representing within-study variances and covariances of the treatment effects</dd>

 
</dl>

simdata.1: Simulated Dataset 1 : With Complete Data

Description

Usage

Arguments

Format

Examples