Dear Stata users,
Context: I am working with a survival dataset containing 20-25 variables. A few variables are missing values. I've used multiple imputation to deal with the missings (via mi mvn), set my data as survival data (mi stset), and performed Cox PH regression (mi estimate: stcox)
Example:
Problem: How do I perform the command "predict cs, csnell" on my mi estimate cox model and pool the results? Is this not a feature for mi datasets, and if not are there user-written commands that can achieve this?
Thanks for your help,
Joseph
P.s. I am new to Stata, so apologies if I have neglected required information in my post.
Context: I am working with a survival dataset containing 20-25 variables. A few variables are missing values. I've used multiple imputation to deal with the missings (via mi mvn), set my data as survival data (mi stset), and performed Cox PH regression (mi estimate: stcox)
Example:
Code:
mi set mlong mi register imputed (v1 v2 v3 v4 v5) mi impute mvn mi stset survival_time, fail(failure_event== 1 2), exit(time 365) mi estimate: stcox v1 v2 v3 v4 v5
Problem: How do I perform the command "predict cs, csnell" on my mi estimate cox model and pool the results? Is this not a feature for mi datasets, and if not are there user-written commands that can achieve this?
Thanks for your help,
Joseph
P.s. I am new to Stata, so apologies if I have neglected required information in my post.
