[R-meta] Correlation between two continuous outcome
Hi Ishtiaque, Can you possibly share a little more specifics about the dataset you are working with? For example, how many studies do you have? How many of them simultaneously studied the effect of X intervention on both pain intensity and the several pain biomarkers of interest? Indeed, how many pain biomarkers do you have and are there any that is/are not the focus of your study? Also, if you could share the structure of your data for a couple of studies in a concise manner (ex. below), our list members could likely better assist you. Reza study SMD V intensity PDNF . . . last_pain_biomarkers 1 .6 .1 number number number 1 1 .2 number number number 1 .9 .3 number number number 2 .7 .2 number number number 2 .8 .4 number number number On Fri, Apr 19, 2024 at 10:30?AM Ishtiaq Ahmed via R-sig-meta-analysis <
r-sig-meta-analysis at r-project.org> wrote:
Hi everyone,
I hope everyone is doing well. My understanding of correlation
meta-analysis is limited, and I'm seeking to enhance it. Currently, I'm
conducting a meta-analysis to assess the effect of X intervention on both
pain intensity and several pain biomarkers (such as BDNF, beta-endorphin,
etc.) as compared with the control. I'm particularly interested in
exploring the correlation between pain intensity and BDNF levels, both of
which are continuous variables.
I used escalc() to calculate the standardized mean difference (SMD) for
pain intensity, considering the varying measurement scales between the
intervention and control groups. Additionally, I've also calculated the
mean difference (MD) for BDNF levels using the differences between the
intervention and control groups.
My question is whether it's possible to convert SMD/MD to correlation
coefficient (r) to perform the correlation meta-analysis. Alternatively,
are there other approaches to utilizing SMD and MD for this analysis?
Additionally, some of the studies (though not all) have provided
beta-values for the correlation between pain intensity and BDNF. Can I
incorporate these beta-values into the meta-analysis?
I would greatly appreciate any suggestions or sources you can provide.
Best regards,
Ishtiaq Ahmed
Ph.D. Researcher
Vrije Universiteit Brussels
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