[R-meta] Include a study with point estimate and 95% CI into a meta-anlaysis for incidence rates

Viechtbauer, Wolfgang (SP) wo||g@ng@v|echtb@uer @end|ng |rom m@@@tr|chtun|ver@|ty@n|
Mon Jun 15 16:44:00 CEST 2020

Dear Thao,

You could try to back-calculate the number of cases and total person time from the reported results. Do you have any information how the CI (16.2 to 23.6) was computed? It is not symmetric around the point estimate (19.6), so it might have been computed based on the log incidence rate or a Poisson regression model using a log link. But there are other ways of computing such a CI, for example using the square-root transformed rate or using the Freeman-Tukey transformation. So, any indication how the authors actually computed the CI would be useful.


>-----Original Message-----
>From: R-sig-meta-analysis [mailto:r-sig-meta-analysis-bounces using r-project.org]
>On Behalf Of Thao Tran
>Sent: Monday, 15 June, 2020 16:25
>To: r-sig-meta-analysis using r-project.org
>Subject: [R-meta] Include a study with point estimate and 95% CI into a
>meta-anlaysis for incidence rates
>I want to perform a meta-analysis for some studies with the interest lies in
>incidence rates.
>Many of them, the data on the number of positive cases and person-time are
>However, I have one study where the authors only reported point estimate
>with its 95%CI.
>How do I include this study into the meta-analysis using the metafor
>Here is an example code.
>datx <- subset(dat2C, point == 1)
>estimS <- escalc(measure="IRLN", xi=Num, ti=py2/1000,
>                 data=datx, slab=paste(Cite))
>summary(estimS, transf=exp)[8:13]
>resS <- rma( yi, vi, data=estimS, method="ML")
>hetS <- cbind(round( resS$QE,1),round( resS$QEp,2), round( resS$I2))
>hetS # 96%
>## However, how to include this study where point estimate (Inc)
>## and 95% CI (Incll = lower bound, Incul = upper bound) were reported
>xx <- subset(dat2C, point==0); dim(xx)
>I look forward to hearing from you.
>Trần Mai Phương Thảo
>Master Student - Master of Statistics
>Hasselt University - Belgium.
>Email: Thaobrawn using gmail.com / maiphuongthao.tran using student.uhasselt.be
>Phone number: + 84 979 397 410+ 84 979 397 410 / 0032 488 0358430032 488

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