Hi everyone.
I want to use sem or gsem to evaluate the associations of different patterns of weight change 1 year after delivery and metabolic outcomes 6 years after delivery. My independent variable is categorical (4 levels). My outcome variables, total cholesterol and LDL-cholesterol, are continuous, as well as my mediating variable (BMI at 6 years). I want to adjust by some sociodemographic variables (some categorical and some continuous). My question is which type of model (sem vs gsem) is more appropriate considering that my independent variable is categorical and my dependent variable is continuous?
Thanks
Related Posts with sem vs gsem?
Problem with variable and its format.Hello, I have a mock data set and one variable is "country" with the corresponding two letters "AT" …
Difference-in-Differences analysis where outcome variables are computed over rolling windowsI have cross-sectional data on firms between 2001 and 2017. The intervention occurred sometime durin…
Keep if/or across many disparate observationsHi statalists, I'm cleaning data for use in a cumulative abnormal returns M&A event study, and …
'quietly' commandHi there Does anyone know if there is a way to get the 'quietly' command to apply to whole chunks o…
oprobit/ ologit for grouped data?Dear All, I am wondering if there exists an equivalent of blogit/ bprobit for ordered logistic regr…
Subscribe to:
Post Comments (Atom)
0 Response to sem vs gsem?
Post a Comment