Message-ID: <dffe247f-fa6a-61d9-57dc-2c08e92ef3eb@imbi.uni-freiburg.de>
Date: 2019-09-05T21:30:27Z
From: Guido Schwarzer
Subject: [R-meta] How to define Rosenthal & Rubin's Proportion Index?
In-Reply-To: <29986b7e68fc4e0eaf6ac2f3170af170@UM-MAIL3214.unimaas.nl>
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 at 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