[R-meta] Question regarding metarate calling the Poisson model for meta-analysis

Willems, R.P.J. (Roel) r@w|||em@ @end|ng |rom @m@terd@mumc@n|
Fri Mar 18 09:23:04 CET 2022

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?


R.P.J. Willems MD
Medical Microbiology and Infection Prevention AII | Location AMC |
L1-247 | Meibergdreef 9, 1105 HZ Amsterdam
E: r.willems using amsterdamumc.nl<mailto:r.willems using amsterdamumc.nl> www.amsterdamumc.nl<http://www.amsterdamumc.nl> |
www.vumc.nl<http://www.vumc.nl> | www.amc.nl<http://www.amc.nl>
VUmc disclaimer : www.vumc.nl/disclaimer
AMC disclaimer : www.amc.nl/disclaimer

	[[alternative HTML version deleted]]

More information about the R-sig-meta-analysis mailing list