[Rd] Suggestion for updating `p.adjust` with new method (BKY 2006)

[Martin Maechler]

>>>>> Xiaoqing Claire Rong-Mullins 
>>>>>     on Mon, 23 Jul 2018 12:03:55 -0400 writes:

    > 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.

Not at all a duplication.  AFAICS this is the first time this is
proposed here.  As a matter of fact this seems such a good (and well
confined) suggestion, that I've proposed it as semester project
here, and so with high probability we will get a "BKY" method
for p.adjust() within a few months.

Thank you, indeed, for the proposal!

Best,
Martin

--
Martin <Maechler using stat.math.ethz.ch>   http://stat.ethz.ch/~maechler
Seminar für Statistik, ETH Zürich   HG G 16         Rämistrasse 101
CH-8092 Zurich, SWITZERLAND
phone: +41-44-632-3408      fax: ...-1228     <><


    > Best,
    > Claire

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

    > [[alternative HTML version deleted]]

    > ______________________________________________
    > R-devel using r-project.org mailing list
    > https://stat.ethz.ch/mailman/listinfo/r-devel