2026-10-16T11:18:38Z https://data.mendeley.com/oai

oai:data.mendeley.com/g973dsx87g.1 2026-04-21T13:59:54Z

Marín Loayza, Eduardo Raúl Alonso Aggregated hospital discharge rates and age-standardization pipeline for gastric cancer in Chile, 2018-2022 Mendeley Data This dataset and analysis pipeline support the findings of the ecological time-series study on hospital discharge trends for gastric cancer (ICD-10: C16) in Chile during 2018–2022. The dataset includes: (1) raw input CSV files with annual population denominators from the World Bank (BANCOMUNDIAL.csv) and the age-sex distribution of the 2024 Chilean Census used as the standard population (CENSO2024.csv); (2) the full Python pipeline (Code.py); (3) processed output files: descriptive counts matrix (Table A), crude hospital discharge rates by sex, age group, and year (Table 1), age-adjusted rates with standard errors calculated using the Stang & Gianicolo (2025) method (Table 2), and a tab-delimited Joinpoint-ready input file (table2_for_joinpoint.txt), all also provided as a consolidated Excel workbook; and (4) the Joinpoint Regression Program session file (Joinpoint - session.jps) with the exact software configuration used to produce the APC estimates reported in the manuscript. No individually identifiable data are included. All primary data sources are publicly available. Epidemiology Public Health Cancer Time Series Chile Aravena Aravena, Valentina De Los Ángeles Castro Lara, Ariel André Fuentes Bascuñán, Noemí Agustina Garrido Rodríguez, Gonzalo Emilio Eduardo Vergara Retamal, Francisca Daniela Dataset doi:10.17632/g973dsx87g.1 oai:data.mendeley.com/g973dsx87g.1 Creative Commons Attribution 4.0 International http://creativecommons.org/licenses/by/4.0 https://data.mendeley.com/datasets/g973dsx87g 2026-04-21T13:59:54Z