A dataset containing cases and controls using the Intego registry data. The variables are as follows:
data(being_processed)A data frame with 77110 rows and 11 variables
cluster_case: each case forms a cluster with all poosible controls to be matched
Patient_Id: Unique identifier for each patient
case_control: binary, if case==Colorectal Cancer, else control
case_ind: binary, if 1==case, else control
JCG: Year of Contact
entry_year: the year that the patient first entrered the database
CI: Comorbidity Index. Count of chronic diseases before index data
age_diff: difference of age between cases and controls
fup_diff: difference of follow-up between cases and controls
total_control_per_case: total controls that are available to be pooled per case
freq_of_controls: how many times the control is available to be matched for different cases