Hi Listers,
I am analysing data for a study with repeated measures, where participants complete surveys at 5 time points (baseline and then each year for 4 years). My outcome of interest is recovery (yes vs. no) and I am interested in exploring if type of support received (i.e. CBT+exercise vs. exercise vs. usual care) at one time point is associated with recovery at the next follow-up. I specify a model where I regress revovery on support, time, and support*time interaction. My main interest is in the overall main effect of support (averaged across timepoints) and in particular if CBT is superior to usual care and exercise alone.
I set the code as follows to obtain an ombibus test for support and ideally the main effect for the contrasts: CBT+exercise vs. exercise and CBT+exercise vs. usual care. BUT I am not sure what the coefficients under contrast can be interpreted - are those log(ORs)? Is there a better way to obtain the estimates of the 2 main comparisons?
Thank you in advance,
Laura
I am analysing data for a study with repeated measures, where participants complete surveys at 5 time points (baseline and then each year for 4 years). My outcome of interest is recovery (yes vs. no) and I am interested in exploring if type of support received (i.e. CBT+exercise vs. exercise vs. usual care) at one time point is associated with recovery at the next follow-up. I specify a model where I regress revovery on support, time, and support*time interaction. My main interest is in the overall main effect of support (averaged across timepoints) and in particular if CBT is superior to usual care and exercise alone.
I set the code as follows to obtain an ombibus test for support and ideally the main effect for the contrasts: CBT+exercise vs. exercise and CBT+exercise vs. usual care. BUT I am not sure what the coefficients under contrast can be interpreted - are those log(ORs)? Is there a better way to obtain the estimates of the 2 main comparisons?
Code:
xtset id xtlogit recovered l1.b2.support i.time , or i(id) contrast ar.l1.b2.support, effect
HTML Code:
df chi2 P>chi2 recovered L.support (Exercise vs usual care) 1 2.31 0.1289 (CBT+exercise vs Exercise) 1 4.38 0.0363 Joint 2 4.47 0.1072 Contrast Std. err. z P>z [95% conf. interval] recovered L.support (Exercise vs usual care) .7508156 .4944891 1.52 0.129 -.2183652 1.719996 (CBT+exercise vs Exercise) -1.285052 .6137623 -2.09 0.036 -2.488004 -.0820996
Thank you in advance,
Laura
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