[R-meta] Fail-and-safe number calculation in the meta package
fstyle71 at naver.com
Thu Mar 1 13:55:35 CET 2018
I appreciate your kind, helpful references and the directions for caculating fsn!
I hope you get over the flu and feel better now!
I really enjoy your meta package, and it has almost everything needed for conducting descent meta analysis.
Thank you again, and I hope everything is going well with you!
From: "Guido Schwarzer"<sc at imbi.uni-freiburg.de>
To: "전경남"<fstyle71 at naver.com>; <r-sig-meta-analysis at r-project.org>;
Sent: 2018-02-28 (수) 19:11:11
Subject: Re: [R-meta] Fail-and-safe number calculation in the meta package
I just recovered from a flu, therefore, my delayed reply.
The fail-safe-N method is not implemented in R package meta as this is not a sensible method to assess bias in meta-analysis (see, for example, Becker 2005, Carson et al. 1990, Ferguson & Heene 2012, Cochrane Handbook, section 10.4.4.3).
However, it should be rather easy to use the output from meta to use fsn() from the metafor package. Here is a corresponding toy example:
m1 <- metagen(1:5, rep(2, 5))
metafor::fsn(TE, seTE^2, data = m1)
metafor::fsn(TE, seTE^2, data = m1, type = "Orwin")
Becker, B.J. 2005, Failsafe N or File-Drawer Number, in HR Rothstein, AJ Sutton & M Borenstein (eds), Publication bias in meta analysis: prevention, assessment and adjustments, Wiley, Chichester.
Carson, K.P., Schriesheim, C.A. & Kinicki, A.J., 1990, The Usefulness of the "Fail-Safe" Statistic in Meta-Analysis, Educational and Psychological Measurement Educational and Psychological Measurement, 50(2), 233-43.
Ferguson, C.J. & Heene, M., 2012, A Vast Graveyard of Undead Theories: Publication Bias and Psychological Science's Aversion to the Null, Perspectives on psychological science : a journal of the Association for Psychological Science, 7(6), 555-61.
-- Dr. Guido Schwarzer Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center - University of Freiburg Postal address: Stefan-Meier-Str. 26, D-79104 Freiburg Phone: +49/761/203-6668 Mail: sc at imbi.uni-freiburg.de Homepage: http://www.imbi.uni-freiburg.de
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