srdata

High dimensional pprotein gene expression data

datasets

Perform mediation analysis for time to event high-dimensional data.
Mediation Analysis proposed by Miocevic et al.(2017) <doi:10.1080/10705511.2017.1342541>
as a statistical tool in the Bayesian framework.
Time to event data analysis methods like Cox proportional hazard model,
accelerated failure time model to work with high dimensional data
with Bayesian approaches are provided. Missing data imputation techniques tool
to work with high dimensional data coupled for mediation analysis by
presented by the active mediator variables.

Atanu Bhattacharjee

autohd

High Dimensional Bayesian Survival Mediation Analysis

Akash Pawar

srdata function

A dataframe with 288 rows and 252 columns<dl class="dl-horizontal">
<dt>ID</dt><dd>ID of subjects</dd>
<dt>Visit</dt><dd>Number of times observations recorded</dd>
<dt>event</dt><dd>death as event 1 if died or 0 if alive</dd>
<dt>OS</dt><dd>Duration of overall survival</dd>
<dt>leftcensored</dt><dd>Left censoring information</dd>
<dt>lc</dt><dd>Left censoring information</dd>
<dt>C6kine,.....,GFRalpha4</dt><dd>High dimensional covariates</dd></dl>

Format

protein data — srdata

A dataframe with 288 rows and 252 columns<dl class='dl-horizontal'>
<dt>ID</dt><dd>ID of subjects</dd>
<dt>Visit</dt><dd>Number of times observations recorded</dd>
<dt>event</dt><dd>death as event 1 if died or 0 if alive</dd>
<dt>OS</dt><dd>Duration of overall survival</dd>
<dt>leftcensored</dt><dd>Left censoring information</dd>
<dt>lc</dt><dd>Left censoring information</dd>
<dt>C6kine,.....,GFRalpha4</dt><dd>High dimensional covariates</dd></dl>

srdata: protein data

Description

Usage

Arguments

Format

Examples