Skip to main content

Advertisement

Springer Nature is making SARS-CoV-2 and COVID-19 research free. View research | View latest news | Sign up for updates

Table 5 SAS computing code for counter-matched WECARE data (wecare.dat) as illustrated in Table 4

From: Study design: Evaluating gene–environment interactions in the etiology of breast cancer – the WECARE study

data wecare;
   infile 'wecare.dat';
   input id setno cc rrt m_rrt n_rrt true_rt rad_dose atm chemo;
   logw = log(n_rrt/m_rrt);
   rad_atm_int = rad_dose*atm;
run;
* Radiation treatment yes/no, use true RT value;
proc phreg data = wecare;
   model setno*cc(0) = true_rt/offset = logw;
   strata setno;
run;
* Radiation-AT mutation interaction model;
proc phreg data = wecare;
   model setno*cc(0) = rad_dose atm rad_atm_int/offset = logw;
   strata setno;
run;
  1. The input variables are as follows: id, subject identification no. (ID); cc, case = 1/control = 0; rrt, Registry radiation therapy (0 = RRT-,1 = RRT+); m_rrt, number sampled from RRT stratum; n_rrt, total in RRT stratum; true_rt, true radiation therapy (0 = TRT-,1 = TRT+); rad_dose, radiation dose; atm, ATM mutation (0 = non-carrier,1 = carrier); chemo, chemotherapy (0 = no chemotherapy,1 = chemotherapy).