I have longitudinal data with continuous outcome and missing values and I want to fit marginal model. Can weighted GEE be fitted in this type of data as primary analysis?
If you have missing data that is generated as a result of dropouts then you can use Proc GEE with the MISSMODEL statement to apply the weighted GEE model. I would suggest taking a look at the GEE documentation for the details and syntax.
If you have missing data that is generated as a result of dropouts then you can use Proc GEE with the MISSMODEL statement to apply the weighted GEE model. I would suggest taking a look at the GEE documentation for the details and syntax.
ANOVA, or Analysis Of Variance, is used to compare the averages or means of two or more populations to better understand how they differ. Watch this tutorial for more.