[R-meta] How to define Rosenthal & Rubin's Proportion Index?

Guido Schwarzer @c @end|ng |rom |mb|@un|-|re|burg@de
Thu Sep 5 23:30:27 CEST 2019

Am 05.09.19 um 18:53 schrieb Viechtbauer, Wolfgang (SP):
> [...]
> However, if you want to test H0: bar(pi) = 0.5, then yes, first subtract 0.5 from each yi value (and no change to vi is needed).

Or, you could use metagen() from R package meta which has an argument 
'null.effect' to specify the null hypothesis:

metagen(yi, sqrt(vi), data = dat, null.effect = 0.5)

Best wishes, Guido

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 using imbi.uni-freiburg.de
Homepage: http://www.imbi.uni-freiburg.de

ORCID iD: https://orcid.org/0000-0001-6214-9087
R-book: https://www.springer.com/gp/book/9783319214153

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