HDMT (version 1.0.5)

exercise_input: An example dataset to demonstrate the usage of 'HDMT'

Description

This example dataset was included to assess the mediation role of DNA methylation in the effect of exercise on prostate cancer progression in a Seattle-based cohort of patients diagnosed with clinically localized PCa. The entire data set contains two sets of p-values from genome-wide testing of 450K CpG sites. Due to space limit, a subset (10 percent) of the full dataset is included in the package for illustration.

The dataset is a matrix containing two columns of p-values for candidate mediators. Column 1 contains the p-values for testing if an exposure is associated with the mediator (alpha!=0). Column 2 contains the p-value for testing if a mediator is associated with the outcome after adjusted for the exposure (beta!=0).

Usage

data("exercise_input")

Format

The format of exercise_input is: num [1:47900, 1:2] 0.4966344 0.1048730 0.1005355 0.4946623 ...

References

James Y. Dai, Janet L. Stanford, Michael LeBlanc. A multiple-testing procedure for high-dimensional mediation hypotheses, Journal of the American Statistical Association, 2020, DOI: 10.1080/01621459.2020.1765785.

Examples

# NOT RUN {
data(exercise_input)
dim(exercise_input)

# }