[R-meta] Calculating standard errors from confidence interval and weights assigned
Dear Win If you fit a random-effects model then the weights become more nearly equal tending to equality as tau^2 increases. I suspect that may be the issue here. Michael
On 12/07/2023 05:36, Win Thu via R-sig-meta-analysis wrote:
Hello, I would like to seek your opinions on calculating standard error (sei) from confidence intervals, and weights assigned to each study in a random effects model. To include in rma function*rma(yi, sei, data)*, I used the following formula to calculate sei *sei <- [log(CI upper limit) - log(CI lower limit)] / 3.92 * For yi, it will be log(relative risk). Then, I have the following weights for each study, which I am not very confident as the studies with larger sample sizes (cohort studies) were given reduced weights compared to smaller studies (case-control). I need to combine both studies as there are limited studies on the topic. I am grateful for your?feedback. Untitled.png Thank you, Win <http://www.avg.com/email-signature?utm_medium=email&utm_source=link&utm_campaign=sig-email&utm_content=emailclient> Virus-free.www.avg.com <http://www.avg.com/email-signature?utm_medium=email&utm_source=link&utm_campaign=sig-email&utm_content=emailclient> <#DAB4FAD8-2DD7-40BB-A1B8-4E2AA1F9FDF2>
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