Data for: Chronic Obstructive Pulmonary Disease in Sweden: an intersectional multilevel analysis of individual heterogeneity and discriminatory accuracy.

Published: 11 Apr 2018 | Version 1 | DOI: 10.17632/76mbbg5jd2.1

Description of this data

Data-file and do-file for the manuscript Chronic Obstructive Pulmonary Disease in Sweden: an intersectional multilevel analysis of individual heterogeneity and discriminatory accuracy. Anonymized and aggregated data on incidence of Chronic Obstructive Pulmonary Disease (COPD) in Sweden during 2011 among adults aged 45-65 years that had lived in Sweden for at least five years and with no previous COPD diagnosis during these five years. 96 intersectional strata constructed by age categories, gender, income tertiles, education categories, civil status and migration status. Cases defined as a hospital diagnosis of COPD.

Experiment data files

This data is associated with the following publication:

Chronic Obstructive Pulmonary Disease in Sweden: An intersectional multilevel analysis of individual heterogeneity and discriminatory accuracy

Published in: SSM - Population Health

Latest version

  • Version 1

    2018-04-11

    Published: 2018-04-11

    DOI: 10.17632/76mbbg5jd2.1

    Cite this dataset

    Axelsson Fisk, Sten; Merlo, Juan; Leckie, George; Wemrell, Maria; Mulinari, Shai; Perez Vicente (both are family name), Raquel (2018), “Data for: Chronic Obstructive Pulmonary Disease in Sweden: an intersectional multilevel analysis of individual heterogeneity and discriminatory accuracy.”, Mendeley Data, v1 http://dx.doi.org/10.17632/76mbbg5jd2.1

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Social Epidemiology

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The files associated with this dataset are licensed under a Creative Commons Attribution 4.0 International licence.

What does this mean?

This dataset is licensed under a Creative Commons Attribution 4.0 International licence. What does this mean? You can share, copy and modify this dataset so long as you give appropriate credit, provide a link to the CC BY license, and indicate if changes were made, but you may not do so in a way that suggests the rights holder has endorsed you or your use of the dataset. Note that further permission may be required for any content within the dataset that is identified as belonging to a third party.

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