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Predicting participation in the population-based Swedish cardiopulmonary bio-image study (SCAPIS) using register data
Author(s) -
Jonas Björk,
Ulf Strömberg,
Annika Rosengren,
Kjell Torén,
Björn Fagerberg,
Anna GrimbyEkman,
Göran Bergström
Publication year - 2017
Publication title -
scandinavian journal of public health
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.953
H-Index - 82
eISSN - 1651-1905
pISSN - 1403-4948
DOI - 10.1177/1403494817702326
Subject(s) - generalizability theory , population , gerontology , demography , selection bias , logistic regression , medicine , register (sociolinguistics) , descriptive statistics , environmental health , psychology , statistics , developmental psychology , linguistics , philosophy , pathology , sociology , mathematics
To illustrate the importance of access to register data on determinants and predictors of study participation to assess validity of population-based studies. In the present investigation, we use data on sociodemographic conditions and disease history among individuals invited to the Swedish cardiopulmonary bio-image study (SCAPIS) in order to establish a model that predicts study participation.

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