Hi everyone, I'm quite new to Stata 16 and I've acquired it primarily for its powerful meta-analytical capabilities. However, I am wondering how a meta-regression may be done to explore the correlation between an outcome and a variable that affects both treatment and control arms (e.g. age) An example for illustration follows:
A meta-analysis is done to evaluate the effect of a drug in heart failure. Population A takes the drug, while population B doesn't. Now, the two arms' respective age were labelled AgeMean_A, AgeSD_A, AgeMean_B, and AgeSD_B for the mean and SD of populations A and B respectively. The mortality and survival were labelled as Mortality_A, Survival_A, Mortality_B, Survival_B. Sample sizes of population A and B were labelled as N_A and N_B respectively.
Suppose I want to investigate mortality/survival may be affected by age, how should I do it? I quite like the simplified graphical UI that comes with Stata 16 for meta-analysis, but it seems to only allow me to input the age of each arm separately for meta-regression and regress as separate variables (which obviously makes no sense).
Or is it the case that if I want to do what I do, I need to manually / separately compute the difference between ages of the two groups (or, if I use binary outcomes, odds ratios), and then input the computed difference / OR for metaregression?
Thanks. I hope I made myself clear.
http://www.dcn.ed.ac.uk/camarades/files/Meta-regression%20protocol_07-02-14%20FORMATTED.pdf
https://www.stata-journal.com/article.html?article=sbe23_1
https://stats.idre.ucla.edu/stata/seminars/introduction-to-meta-analysis-in-stata/
Depend on which stata you are using? However, you could always try UYT(University of YouTube)!
Look at these papers
Article A hands-on practical tutorial on performing meta-analysis with Stata
Article Network Meta-analysis: Application and Practice using STATA software
Article Metaprop: a Stata command to perform meta-analysis of binomial data
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