[R-meta] converting Odds Ratio to Risk Ratio in CHE model

[Viechtbauer, Wolfgang (NP)]

Dear Sicong,

I don't understand the question (seems to be pattern for me today ...). If you converted everything to SMDs, then the results from the model provides estimates in terms of this (SMD) measure. So where / why do you want to convert ORs to RRs?

Best,
Wolfgang

> -----Original Message-----
> From: R-sig-meta-analysis <r-sig-meta-analysis-bounces using 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 using r-project.org
> Cc: Liu Sicong <64zone using 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
>
> ------------------------------------------
> Sicong (Zone) Liu, Ph.D.
> Professor
> South China Normal University
> ------------------------------------------