MICE och MNAR : En simuleringsstudie av imputeringsmetoder och känslighetsanalys

Missing data are common in empirical research and may lead to biased conclusions if the missingness mechanism is not appropriately addressed. This thesis evaluates the performance of multiple imputation methods under a Missing Not At Random (MNAR) mechanism through a controlled simulation study. Complete data were generated under two data-generating mechanisms: one linear and one nonlinear. For ea…