Dear all,
I would appreciate some advice please!
I have performed a meta-analysis of 69 studies looking at the association between a risk factor and disease which appears to significant (RR 1.36%, p<0.001) but there is significant heterogeneity between studies (I2 77%; p<0.001).
From my meta-regression analysis, I am having trouble fully explaining the heterogeneity. Of 10 covariates/potential confounders, only 1 appears to significantly influence heterogeneity (p=0.004) bu the adjust R2 is only 13.7%, so it appears not account for much of the variance. There are clearly other subgroup differences but none that are statistically signficant.
Do you have any suggestions for some further tests that I could do to try to explain the heterogeneity?
Best wishes,
Related Posts with Investigating or explained heterogeneity
miliseconds datetime convertionHi , my dataset has a datetime string like this: Code: clear input str28 activityDateTime "2022-1…
Creating bar chart with multiple binary variablesHi, I am attempting to create a bar chart in Stata that shows proportions for multiple different bin…
Counting number of individuals (by sex and age) that answer a question in a longitudinal studyHello, I have a dataset with information of abuse (variable name: abused) at work by age and sex (v…
Analysing which colour contributes to the greatest price premiumHi Everyone, I hope you're well! I am trying to observe what colours have the greatest price premi…
gen var1=var2, generates some wrong values Code: gen geo3= geo3_bd2001 gives the following values. I wonder what might cause this. Any idea pl…
Subscribe to:
Post Comments (Atom)
0 Response to Investigating or explained heterogeneity
Post a Comment