[R-meta] Random-effects meta-analyses with inverse-variance weights cannot include studies with sample sizes of two?
Viechtbauer, Wolfgang (SP)
wolfg@ng@viechtb@uer @ending from m@@@trichtuniver@ity@nl
Thu Nov 8 16:31:55 CET 2018
I wonder what effect size / oucome measure can sensibly be computed based on two subjects. For example, for measures based on two groups (e.g., raw or standardized mean difference, risk difference, log risk/odds ratios), this would imply that there is a single subject in each group.
From: R-sig-meta-analysis [mailto:r-sig-meta-analysis-bounces using r-project.org] On Behalf Of Patrizio Tressoldi
Sent: Friday, 02 November, 2018 15:19
To: Michael Dewey; r-sig-meta-analysis using r-project.org
Subject: Re: [R-meta] Random-effects meta-analyses with inverse-variance weights cannot include studies with sample sizes of two?
In this case the reviewer referred to the calculation of the effect size
of an individual primary study.
Il 02/11/2018 13:33, Michael Dewey ha scritto:
> Can you just clarify Patrizio, does the referee mean that an
> individual primary study must have a sample size greater than two or
> that your meta-analysis must include more than two primary studies?
> Either way it seems dubious to me.
> On 02/11/2018 09:38, Patrizio Tressoldi wrote:
>> A need your advise about a referee comment: "random-effects
>> meta-analyses with
>> inverse-variance weights cannot include studies with sample sizes of
>> Is this statement correct, and if yes, why?
>> Patrizio E. Tressoldi Ph.D.
>> Dipartimento di Psicologia Generale
>> Università di Padova
>> via Venezia 8
>> 35131 Padova - ITALY
>> Science of Consciousness Research Group
>> Make war history
>> support http://www.emergency.it
More information about the R-sig-meta-analysis