The value of combining individual and small area sociodemographic data for assessing and handling selective participation in cohort studies : Evidence from the Swedish CardioPulmonary bioImage Study
Objectives To study the value of combining individual- and neighborhood-level sociodemographic data to predict study participation and assess the effects of baseline selection on the distribution of metabolic risk factors and lifestyle factors in the Swedish CardioPulmonary bioImage Study (SCAPIS). Methods We linked sociodemographic register data to SCAPIS participants (n = 30,154, ages: 50-64 yea