Message-ID: <WM!ccb1a8d701e66ad160bed15ba17ba710a529b1dd3957a2885b24c4d56f4d74dec50e3f5d9d6851a8865a49beb9e7d549!@mailhub-mx5.ncl.ac.uk>
Date: 2019-10-15T13:29:39Z
From: Wasim Iqbal (PGR)
Subject: [R-meta] Principle component analysis VS multivariate meta-analysis
Dear Metafor members,
I was wondering if anyone could help unravel the reasoning behind carrying out a principle component analysis compared to a multivariate meta-analysis between outcomes.
For instance, a literature review collected data on enzyme kinetics from a range of published papers. They then analysed the relationships between the kinetic parameters using PCA. Surely, would a multivariate meta-analysis not be better since it will be taking into account any between study-heterogenity which would have otherwise been overlooked if a normal PCA was carried out?
Hope you understand what I mean.
Kind regards
Wasim
Newcastle University
Sent from Mail<https://go.microsoft.com/fwlink/?LinkId=550986> for Windows 10
[[alternative HTML version deleted]]