Hi,
I am hopeful that someone can help me.
I am having trouble understanding how to plot a significant interaction while controlling for several covariates.
For example, I run the model:
regress y i.A##i.sex c.control1 i.control2 c.control3
I get a significant interaction between A and sex.
I then plot this graph via:
margins sex#A
marginsplot, x(A)
and all looks good (both lines match coefficient direction).
But then, I perform a sex stratified analysis and find that A is not associated with Y in either males or females. Simple effects however do show m/f differ in one condition.
My question is, what would be the best way to represent this result?
I then do:
regress y i.A##i.sex i.sex(c.control1 i.control2 c.control3)
and try:
margins child_sex, dydx(A)
margins sex#A
marginsplot, x(A)
and the coefficients match the sex-stratified analysis - but now there looks like there is no effect at all in one of the groups (the 95% CI are very wide) and the lines are parallel.
Any help would be much appreciated.
All the best,
Lucy
Related Posts with Graphs after margins with interaction and covariates
Binary Variable for all years in panel dataHello, I will preface by saying the data i am using is confidential so i cannot share the whole file…
About Random Survival Forest Analysis using Stata Good morning at the Stata Forum! Random Survival Forest is specifically suitable for exploratory an…
Multilevel - Mixed-Effects Model SpecificationDear Collegues I would like to ask your help to correctly run the code for a multilevel approach. …
Non-linear IV: Dependent count variable and binary endogenous variableHallo I have a problem in my research project where my dependent variable is a (very dispersed) cou…
Three way interaction marginsplot?Hi all I am running a threeway interaction model using mixed and was wondering how best to go about …
Subscribe to:
Post Comments (Atom)
0 Response to Graphs after margins with interaction and covariates
Post a Comment