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Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
Cohort profile: the Social Inequality in Cancer (SIC) cohort study
Helene Nordahl1, Ulla Arthur Hvidtfeldt2, Finn Diderichsen2
1Department of Public Health, Section of Social Medicine, University of Copenhagen, Copenhagen, Denmark, Research Centre for Prevention and Health, Glostrup University Hospital, Glostrup, Denmark, Clinical Research Centre, Hvidovre University Hospital, Hvidovre, Denmark, Department of Cardiology, Bispebjerg University Hospital, Copenhagen, Denmark, Copenhagen City Heart Study, Frederiksberg University Hospital, Copenhagen, Denmark, Danish Cancer Society Research Centre, Copenhagen, Denmark and Department of Public Health, Section of Biostatistics, University of Copenhagen, Copenhagen, Denmark Department of Public Health, Section of Social Medicine, University of Copenhagen, Copenhagen, Denmark, Research Centre for Prevention and Health, Glostrup University Hospital, Glostrup, Denmark, Clinical Research Centre, Hvidovre University Hospital, Hvidovre, Denmark, Department of Cardiology, Bispebjerg University Hospital, Copenhagen, Denmark, Copenhagen City Heart Study, Frederiksberg University Hospital, Copenhagen, Denmark, Danish Cancer Society Research Centre, Copenhagen, Denmark and Department of Public Health, Section of Biostatistics, University of Copenhagen, Copenhagen, Denmark henor@sund.ku.dk.
Abstract:
The Social Inequality in Cancer (SIC) cohort study was established to determine pathways through which socioeconomic position affects morbidity and mortality, in particular common subtypes of cancer. Data from seven well-established cohort studies from Denmark were pooled. Combining these cohorts provided a unique opportunity to generate a large study population with long follow-up and sufficient statistical power to develop and apply new methods for quantification of the two basic mechanisms underlying social inequalities in cancer-mediation and interaction. The SIC cohort included 83 006 participants aged 20-98 years at baseline. A wide range of behavioural and biological risk factors such as smoking, physical inactivity, alcohol intake, hormone replacement therapy, body mass index, blood pressure and serum cholesterol were assessed by self-administered questionnaires, physical examinations and blood samples. All participants were followed up in nationwide demographic and healthcare registries. For those interested in collaboration, further details can be obtained by contacting the Steering Committee at the Department of Public Health, University of Copenhagen, at inan@sund.ku.dk.
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