Estimating and modelling relative survival using SAS
I have written SAS code (version 7 or higher) for estimating and modelling relative survival. A sample data set containing information on colon carcinoma diagnosed in Finland is provided. All required data and SAS files can be downloaded in a ZIP archive. Full documentation is provided in the file readme.pdf in the ZIP archive.
If the contents of the ZIP archive are extracted to the directory c:\rsmodel\sas_colon\
then the code should run without requiring alteration. The code provided will
reproduce the estimates reported in Table I of the paper Dickman
et al (2004). Two input data files are provided; colon.sas7bdat
contains the cancer patient data and popmort.sas7bdat contains
data on expected probabilities of death for the Finnish general population.
The SAS code in survival.sas produces life table estimates of
relative survival stratified by sex, age, and calendar period of diagnosis.
In addition, two output data sets are created (one containing grouped data and
one containing individual patient data) which are used as input data sets for
modelling. The SAS code in models.sas estimates a relative survival
regression model using several different approaches (described in Dickman
et al (2004)).
Version History
20040619 Version 1.0