Hi all,
I have an issue trying to estimate multiple outcomes simultaneously using hierarchical models in Stata (I am using version 15.1).
The research question is looking at different health outcomes (eg. anxiety and depression levels) and whether some patient characteristics (eg. awareness of their disease and prognosis) affects their health outcomes. The patients of the study are from multiple countries, as such, we want to use a hierarchical model to nest the individuals within the country they are from.
The issue now arises as we are trying to test multiple outcomes simultaneously (using meglm or mixed). I am unable to find a method for doing so in Stata, and would like to ask if anyone is familiar with such estimation methods in Stata.
Thank you.
Related Posts with Estimating Multivariate (Multiple Outcomes) Hierarchical Models
Looking to add ifxed effects for a model but unsure how to go about it.Hi, I am doing a project where I am looking at state incarceration rates for the year 2016. I am loo…
Getting same estimates for Fixed Effects and Random Effects but not for pooled OLSI estimated pooled OLS, Fixed Effect, and Random Effect Model using Grunfeld's investment data. The …
Logit with CI chartIs there a Code: lfitci or Code: qfitci type command to chart a logistic regression with confi…
Problem with random-effects GLS regression and dummy variablesDear reader, I am a business student currently writing a thesis about the impact of global cities (…
SAS date to Statahi, i am working with a SAS data set and birthday variable reads as , list BIRTHY in 1/10 +------…
Subscribe to:
Post Comments (Atom)
0 Response to Estimating Multivariate (Multiple Outcomes) Hierarchical Models
Post a Comment