Message-ID: <AM9P193MB1362799825DAADA1AC8B4196E0139@AM9P193MB1362.EURP193.PROD.OUTLOOK.COM>
Date: 2022-03-18T08:23:04Z
From: Willems, R.P.J. (Roel)
Subject: [R-meta] Question regarding metarate calling the Poisson model for meta-analysis
Dear all,
We are conducting a systematic review and meta-analysis to determine the risk of infection in previously-colonized patients with multidrug-resistant microorganisms. Using metarate, we have tried to call the random intercept Poisson regression model (Stijnen et al., 2010) from the R package metafor in order to pool cumulative incidence (proportions). We wanted to use the random effects, to account for different cumulative time periods of follow-up. The pooled results however, showed confidence limits that differed significantly when we compared these to exact Poisson 95% CIs that we calculated separately. Is it possible to use your R package to perform meta-analyses using the Poisson-based approach, with a random effect for follow-up time to account for variations in cumulative time period per individual study. We aimed to yield point estimates and 95% CIs for the cumulative incidence (not using any risk ratios or comparator groups).
We would like to inquire whether it is possible to conduct the intended meta- analysis using this package? Otherwise, could you inform us on a good alternative approach?
Best,
Roel
R.P.J. Willems MD
Medical Microbiology and Infection Prevention AII | Location AMC |
L1-247 | Meibergdreef 9, 1105 HZ Amsterdam
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