-----Original Message-----
From: R-sig-meta-analysis <r-sig-meta-analysis-bounces at r-project.org> On Behalf
Of Liu Sicong via R-sig-meta-analysis
Sent: Wednesday, April 17, 2024 10:07
To: r-sig-meta-analysis at r-project.org
Cc: Liu Sicong <64zone at gmail.com>
Subject: [R-meta] converting Odds Ratio to Risk Ratio in CHE model
Dear All,
Hope all is well.
I have been applying the correlated and hierarchical model (CHE, Pustejovsky &
Tipton, 2021) to fitting data consisting of ~98 clinical trials with binary
outcomes. The effect sizes took the initial form of odds ratio (OR) and were
converted to the standard mean difference (SMD) when fitting the CHE model.
Because OR is challenging for interpretation and I wonder if there are ways to
transform from OR to risk ratio (RR) when reporting the model parameter
estimates? Or, as some literature (see Knol et al., 2012) suggests, converting
to RR entails a change of model?
Thank you all very much!
Pustejovsky, J. E., & Tipton, E. (2022). Meta-analysis with robust variance
estimation: Expanding the range of working models. Prevention Science, 23(3),
425-438.
Knol, M. J., Le Cessie, S., Algra, A., Vandenbroucke, J. P., & Groenwold, R. H.
(2012). Overestimation of risk ratios by odds ratios in trials and cohort
studies: alternatives to logistic regression. Cmaj, 184(8), 895-899.
Best regards,
Sicong
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Sicong (Zone) Liu, Ph.D.
Professor
South China Normal University
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