Hello all,
This is my first post on Statalist (I am a very novice Stata user), my apologies for any potential errors.
I am trying to compare different survival curve models for a variable "testscore" (ranges 1-100). I want to create different spline models (with df ranging from 1 to 5) using the "rcsgen" command, then run them through "stcox / estat ic" command, and subsequently compare their respective AICs to see which models gives me the best fit. I would like the output to show me an AIC table of the different models so I can compare the models.
I have the following code,
forvalue i = 1/5 {
rcsgen testscore, gen(rcs_testscore) df(`i')
stcox rcs_testscore*
estat ic
est store model_df`i'
drop rcs_testscore*
}
//estat summarize model_df* ///
Please let me know if I can provide any further information, thank you so much.
Carmen Pajarillo
This is my first post on Statalist (I am a very novice Stata user), my apologies for any potential errors.
I am trying to compare different survival curve models for a variable "testscore" (ranges 1-100). I want to create different spline models (with df ranging from 1 to 5) using the "rcsgen" command, then run them through "stcox / estat ic" command, and subsequently compare their respective AICs to see which models gives me the best fit. I would like the output to show me an AIC table of the different models so I can compare the models.
I have the following code,
forvalue i = 1/5 {
rcsgen testscore, gen(rcs_testscore) df(`i')
stcox rcs_testscore*
estat ic
est store model_df`i'
drop rcs_testscore*
}
//estat summarize model_df* ///
Please let me know if I can provide any further information, thank you so much.
Carmen Pajarillo
