As a not so experienced Stata user I was grateful to find the ipdmetan package to perform a
With the following script, I receive the output for the interaction 0.Group#1.SES (intervention group and low socioeconomic status) – but how do I receive the results for the interaction of those with an intermediate socioeconomic status (vs high)?:
ipdmetan, study(Study_nr) interaction random: mixed BMI ib(last). Group# ib(last).SES ib(last).Group BMI_t0 ib(last).SES || participant_id: , iterate(50)
with BMI for body mass index and SES for socioeconomic status
I tested to find out whether defining 0.Group#2.SES would provide the results, but this provide different results than when I perform the analyses per study separately.
It would be great if someone can help me out here.
two-stage IPD meta-analysis.
I also found the option to analyze interactions with ipdmetan. We aim to get insight into the differential effects of interventions on body mass index for participants with a low vs high socioeconomic status and those with an intermediate vs high socioeconomic status (group*SES, with group as 0/1 and SES as 1/2/3).With the following script, I receive the output for the interaction 0.Group#1.SES (intervention group and low socioeconomic status) – but how do I receive the results for the interaction of those with an intermediate socioeconomic status (vs high)?:
ipdmetan, study(Study_nr) interaction random: mixed BMI ib(last). Group# ib(last).SES ib(last).Group BMI_t0 ib(last).SES || participant_id: , iterate(50)
with BMI for body mass index and SES for socioeconomic status
I tested to find out whether defining 0.Group#2.SES would provide the results, but this provide different results than when I perform the analyses per study separately.
It would be great if someone can help me out here.
