11-28-2016 01:10 PM - edited 11-28-2016 01:19 PM
I'm working on a survival analysis with repeated measurements in covariates (e.g., blood pressure, BMI). One way to deal with these covariates with repeated measurements is to treat them as time-dependent variables. An example is given here: http://support.sas.com/documentation/cdl/en/statug/63962/HTML/default/viewer.htm#statug_phreg_sect05...
But there are some major difference between that example and our data:
1) in that example, each subject has the same amount of repeated measurements taken at the same time, while in my data (which is medical record instead of a specially designed follow-up study) the amount and time of measurements vary from subject to subject (e.g., blood pressure or BMI is not necessary taken on the same day for each subject in our cohort).
2) there is only one covariate with repeated measurements in the example, while we have multiple covariate with repeated measurements.
my data looks like this for the covariates:
Has anyone done similar analysis and would like to cast some light.
Any help is appreciated.
11-28-2016 03:25 PM
11-28-2016 04:12 PM - edited 11-28-2016 04:15 PM
are you suggesting to brake down the intervals by day and for the entire follopwup study(3 years study)? I think that is a good idea. Do you have a sample code for that? and yes I have missing instead of unknown in my data. it was just to be clear.