Missing data assumptions in latent class growth models of mental health: a secondary analysis case study of two UK cohorts
To mitigate bias caused by selective attrition in cohort studies, researchers have been advised to link cohort data to administrative data sources, as these are not prone to attrition and provide more objectively measured information. However, consent for data linkage is often influenced by mental health status and...