This node is located at the Dept. of Medical Epidemiology and Biostatistics, Karolinska Institutet.
Research on risks and consequences of common childhood disorders have limitations; intensively studied samples have low power and population-based studies frequently do not have adequate outcome measures. Importantly, most studies fail to address problems related to confounding and cannot draw strong causal inferences. To contribute, studies must be large, longitudinal, include appropriate measures of health and environments, and have designs that account for familial confounding.
We will use advanced family designs (within twin/sibling/cousin and within-individual designs) and unique health registers to address causes and consequences of common childhood disorders. We also aim to further develop statistical methods to address causal effects using genetically informed population based register
Results will inform prevention and intervention efforts to reduce impairment and societal costs. Methodological advances will be disseminated via the SIMSAM network and graduate school, with the purpose to provide synergies to the entire Swedish research community.