The dataset is from the supplementary files of Maringe et al. (2020), doi:10.1093/ije/dyaa057 . The dataset is a set of 200 simulated lung cancer patients. These patients are followed up for a year following their cancer diagnosis: 106 of them received surgery within six months of their diagnosis and 48 died in the year.
lungcancerlungcancerA data frame with 200 rows and 12 columns:
patient identifier
observed follow-up time (time to death or 1 year if censored alive)
observed event of interest (all-cause death) 1: dead, 0:alive
time to surgery (NA if no surgery)
observed treatment 1 if the patient received surgery within 6 month, 0 otherwise
age at diagnosis
patient's sex
performance status at diagnosis
stage at diagnosis
deprivation score
Charlson's comorbidity index
route to diagnosis
data(lungcancer)