example_data

<p>Example data with multiple exposures, multiple outcomes,</p>

datasets

A collection of fast and flexible functions for analyzing
omics data in observational studies. Multiple different approaches for
integrating multiple environmental/genetic factors, omics data, and/or
phenotype data are implemented. This includes functions for performing
omics wide association studies with one or more variables of interest
as the exposure or outcome; a function for performing a meet in the
middle analysis for linking exposures, omics, and outcomes (as
described by Chadeau-Hyam et al., (2010)
<doi:10.3109/1354750X.2010.533285>); and a function for performing a
mixtures analysis across all omics features using quantile-based
g-Computation (as described by Keil et al., (2019)
<doi:10.1289/EHP5838>).

Jesse Goodrich

epiomics

Analysis of Omics Data in Observational Studies

example_data function

<p>An dataframe with multiple exposures, outcomes, and omics features.</p>

example_data: Example data with multiple exposures, multiple outcomes,

Description

Usage

Arguments

Format

Examples