Replication Data and Code for: Relative cancer survival by household income and race in Canada in the Canadian Census Health and Environment Cohorts

The following files are code and partial data to reproduce results in the study "Relative cancer survival by household income and race in Canada in the Canadian Census Health and Environment Cohorts" by Talía Malagón, Sarah Botting-Provost, Alissa Moore, Mariam El-Zein, and Eduardo L Franco.

The SAS programs format the data from original microdata files and perform the propensity score matching and Poisson regression models. The outputs from the Poisson regression models were saved as Excel files, and were used to calculate relative survival using the R program "relative survival from propensity score models appendix version.R". The partial data of Poisson model outputs can be used to generate custom estimates of survival and mortality rates by race, immigration status, household income, and education level using estimating equations based on fitted Poisson model parameters. Additional SAS programs used for the secondary analyses using life table methods are also included here.

The microdata files used to fit the models and other results of the study are owned by Statistics Canada; restrictions apply to the availability of these data, which were used under license by Statistics Canada for this study. Eligible researchers can apply for access to this data through the Statistics Canada Research Data Centre program (https://www.statcan.gc.ca/en/microdata/data-centres/access).