[R-meta] converting Odds Ratio to Risk Ratio in CHE model
Liu Sicong
64zone @end|ng |rom gm@||@com
Wed Apr 17 10:07:25 CEST 2024
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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