From xqrong1056 @ending from gm@il@com  Mon Jul 23 18:03:55 2018
From: xqrong1056 @ending from gm@il@com (Xiaoqing Claire Rong-Mullins)
Date: Mon, 23 Jul 2018 12:03:55 -0400
Subject: [Rd] Suggestion for updating `p.adjust` with new method (BKY 2006)
Message-ID: <CAMS45KvD6y4kfwarwSDAb+zuOBTe2WN-aZAopa-UHOsaYnDgnQ@mail.gmail.com>

Dear R contributors,

I suggest adding a new method to `p.adjust` ("Adjust P-values for Multiple
Comparisons",
https://stat.ethz.ch/R-manual/R-devel/library/stats/html/p.adjust.html).

This new method is published in Benjamini, Krieger, Yekutieli 2016 Adaptive
linear step-up procedures that control the false discovery rate
(Biometrika). https://doi.org/10.1093/biomet/93.3.491

This paper described multiple methods for adjusting p-values, where the "TST"
method (Definition 6) performed the best when test statistics are
positively correlated, per my interpretation. This method can be labeled as
"BKY", for the three authors Benjamini, Krieger, Yekutieli.

I apologize if this is a duplication.


Best,
Claire

Xiaoqing Claire Rong-Mullins
Bioinformatic Specialist
Division of Biostatistics
College of Public Health
The Ohio State University

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[Rd] Suggestion for updating `p.adjust` with new method (BKY 2006)
Xiaoqing Claire Rong-Mullins