Hi Statalist, I hope for some ideas - because I am stuck.
I have dyadic (child & caregiver) data with two time points (pre- and post-intervention). The dependent variable is zero-bound continuous (health service use) data.
Co-variates are clinical and demographical variables (both categorical and continuous, both constant and time-varying).
I am aiming to look at treatment effects in groups of caregivers (male vs female) in children (if there is a difference) according to treatment effect.
Which analysis makes the most sense here, when I am interested in the intervention effect in a subgroup of caregivers? I have been thinking about reg with interaction term .reg depvar1 i.treatment##i.cgsex##timepoint i.covariable c. covariable, vce(cluster id)
Does this make sense or am I on the very wrong track here?
Kind regards, Maria
Related Posts with Two time-point measure, subgroups
Altering yaxis and ylabel styles for graphs that have 2 or more y axisHi Statalisters! I have a time series dataset that I have set as such with the Code: tsset command…
Altering yaxis and ylabel styles for graphs that have 2 or more y axisHi Statalisters! I have a time series dataset that I have set as such with the command Code: tsset…
Exporting data from multiple univariate regressions into one big table in excelHi all, I have used a foreach loop to do univariate logistical regression of multiple variables wit…
Standard deviation of regression residual using historical dataDear all, I'm trying to calculate the standard deviation of the regression residual where I require…
Error with multiple imputation - mi estimate does not support mixed, dfmethod() r(198);Hello, I was successfully able to impute my data, but I get the following error when I reach the mi…
Subscribe to:
Post Comments (Atom)
0 Response to Two time-point measure, subgroups
Post a Comment