Simulated_individual_survival

A list containing the individual level data including gene expression data for survival outcomes for pleiotropy investigation of two studies.

datasets

Run a Gibbs sampler for a multivariate Bayesian sparse group selection model with Dirac, continuous and hierarchical spike prior for detecting pleiotropy on the traits. This package is designed for summary statistics containing estimated regression coefficients and its estimated covariance matrix. The methodology is available from: Baghfalaki, T., Sugier, P. E., Truong, T., Pettitt, A. N., Mengersen, K., & Liquet, B. (2021) <doi:10.1002/sim.8855>.

Yazdan Asgari

GCPBayes

Bayesian Meta-Analysis of Pleiotropic Effects Using Group
Structure

Taban Baghfalaki

Benoit Liquet

Pierre-Emmanuel Sugier

Mohammed Sedki

Therese Truong

Simulated_individual_survival function

A list which contains the name of gene, the name of the SNPs, the vectors and the matrices for the summary statistics of each study.<dl>
 <dt>Study1</dt>
<dd>The inividual level data including survival outcomes and gene expression data of Study 1</dd> <dt>Study2</dt>
<dd>The inividual level data including survival outcomes and gene expression data of Study 2</dd>
</dl>

Format

Simulated individual level survival data — Simulated_individual_survival

A list which contains the name of gene, the name of the SNPs, the vectors and the matrices for the summary statistics of each study.<dl>
 <dt>Study1</dt>
<dd>The inividual level data including survival outcomes and gene expression data of Study 1</dd>

 <dt>Study2</dt>
<dd>The inividual level data including survival outcomes and gene expression data of Study 2</dd>


</dl>

Simulated_individual_survival: Simulated individual level survival data

Description

Usage

Arguments

Format

References

See Also