| Name : R-HDMT
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| Version : 1.0.4
| Vendor : obs://build_opensuse_org/devel:languages:R
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| Release : lp156.1.1
| Date : 2024-06-24 13:56:32
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| Group : Development/Libraries/Other
| Source RPM : R-HDMT-1.0.4-lp156.1.1.src.rpm
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| Size : 2.67 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : A Multiple Testing Procedure for High-Dimensional Mediation Hypotheses
|
Description :
A multiple-testing procedure for high-dimensional mediation hypotheses.
Mediation analysis is of rising interest in epidemiology and clinical
trials. Among existing methods for mediation analyses, the popular
joint significance (JS) test yields an overly conservative type I error
rate and therefore low power. In the R package \'HDMT\' we implement a
multiple-testing procedure that accurately controls the family-wise
error rate (FWER) and the false discovery rate (FDR) when using JS for
testing high-dimensional mediation hypotheses. The core of our
procedure is based on estimating the proportions of three component
null hypotheses and deriving the corresponding mixture distribution of
null p-values. Results of the data examples include better-behaved
quantile-quantile plots and improved detection of novel mediation
relationships on the role of DNA methylation in genetic regulation of
gene expression. With increasing interest in mediation by molecular
intermediaries such as gene expression, the proposed method addresses
an unmet methodological challenge. Methods used in the package refer to
James Y. Dai, Janet L. Stanford & Michael LeBlanc (2020)
< doi:10.1080/01621459.2020.1765785>.
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RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.6/x86_64 |
