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Data · dataset · 2024

Replication Data and Code for: Inequalities in relative cancer survival by race, immigration status, income, and education for 22 cancer sites in Canada, a cohort study

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The following files are code and partial data to reproduce results in the study: Malagón T, Botting-Provost S, Moore A, El-Zein M, Franco EL.

Description

Inequalities in relative cancer survival by race, immigration status, income, and education for 22 cancer sites in Canada, a cohort study. Int J Cancer. 2025 Jul 1;157(1):41-54. doi: 10.1002/ijc.35337.

Epub 2025 Jan 16. PMID: 39821788; PMCID: PMC12062929. doi.org/10.1002/ijc.35337 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".

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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 (statcan.gc.ca/en/microdata/data-centres/access).

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Catalogue records · 1

Topics

Inferred from text
Oncology and carcinogenesis 74% · Tabular 65%
Provenance · 1 source records, 13 field assertions
SourceKeyLast seenRaw
Borealisdoi:10.5683/SP3/STER2V13 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[disease].local:disease:cancermapping · borealisdata cavocabulary-mapper@1.0.0keywords['Cancer']
concepts[field].anzsrc:group:3211enrichment · borealisdata cataxonomy-embedding@1.1.0title+keywords+description (74%)
concepts[field].dataverse_subject:medicine-health-and-life-sciencessource · borealisdata caconnector:borealisdata_ca@1.0.0/subjects
concepts[field].local:field:life-sciencesmapping · borealisdata caconnector:borealisdata_ca@1.0.0/subjects
concepts[field].local:field:medicine-healthmapping · borealisdata caconnector:borealisdata_ca@1.0.0/subjects
concepts[method].local:method:longitudinal-studymapping · borealisdata cavocabulary-mapper@1.0.0keywords['Cohort study']
concepts[modality].local:modality:tabularenrichment · borealisdata cakeyword-concept-rules@1.0.0title+description (65%)
created_datesource · borealisdata caconnector:borealisdata_ca@1.0.0
descriptionsource · borealisdata caconnector:borealisdata_ca@1.0.0/description
publication_datesource · borealisdata caconnector:borealisdata_ca@1.0.0
titlesource · borealisdata caconnector:borealisdata_ca@1.0.0/name
updated_datesource · borealisdata caconnector:borealisdata_ca@1.0.0
version_labelsource · borealisdata caconnector:borealisdata_ca@1.0.0