Effect of measurement error on the association between baseline and longitudinal change

UnrestrictedThe relation between baseline value and longitudinal change has been a great interest in epidemiological research. For the studies with one baseline measurement and one follow-up measurement, the relationship is evaluated using a regression approach. For the studies with one baseline measurement and more than one follow-up, random effect mixed modeling is the approach to evaluate the relationship. When outcome variables are measured with error, results from both approaches will be biased. In this paper, we evaluated the relationship between measurement error and bias through a simulation study