Hello,
I have written before about this and I have not yet found a solution to my problem. I have pre and post treatment data that I would like to use linear mixed model for. I used the "mixed command for the model is below. How do I adjust for additional variables in thee "mixed" command? I am also trying to get a visual of the model into a linear graph but this is super hard. I have tried the margins command below but it doesn't give me the same thing I want from this publication (https://europepmc.org/backend/ptpmcr...1&blobtype=pdf). Figures 3 and 4 are what I am trying to replicate.
My dependent variable is continuous. My time variable is also continuous and have pre-treatment data from -100 months and post treatment data from 1-100 months. Below are the codes I have tried so far. Please help. How do I get a similar graph?
nl hockey dep time /*Find break point*/
predict yhat
twoway (line yhat time, sort)
mixed dep c.time || id: time, covariance(unstructured) nolrtest no-log
quietly margins , at(time = (-100(1)100))
marginsplot , title("") plotopts(msymbol(none) lcolor(black)) ytitle(dep (%)) ylabel( , angle(horizontal) nogrid) xtitle(months) level(50) recastci(rline) ciopts(lcolor(black) lpattern(dash)) xline(0)
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