Accelerated longitudinal designs: An overview of modelling, power, costs and handling missing data

摘要: Longitudinal studies are often used to investigate age-related developmental change. Whereas a single cohort design takes group of individuals at the same initial age and follows them over time, an accelerated longitudinal multiple cohorts, each one starting different age. The main advantage is its ability span range interest in shorter period time than would be possible with design. This paper considers issues for studies. A linear mixed effect model considered describe responses random effects intercept slope parameters. Random fixed cope potential bias designs have due cohorts. impact other factors such as costs dropouts on power testing or precision estimating parameters examined. As duration-related increase relative recruitment best shift towards duration eventually cross-sectional being best. For but differing interval between measurements, we found there was cutoff point measurement relating frequency measurements. Under our 30% dropout maximum loss 7%.