Mediation models based on cross-sectional data can produce unexpected estimates, so much so that making longitudinal or causal inferences is...
This chapter introduces one approach to describing constructs that consist of easily reversed, short–term changes — data that is often...
The fitting of dynamical systems can be improved by estimating derivatives in a manner similar to that used to fit...
Historically, it has been easier to describe differences between groups of people, rather than describe the dynamic ways that people...
Brief summary of post contents Generalized Local Linear Approximation is a generalization of local linear approximation of derivatives (LLA, Boker...
This essay reviews emerging trends in modeling repeated measures data. Three longitudinal models are discussed: panel model designs, growth curve...
Many applied statistical problems address how change two variables are related. In this chapter derivatives are presented as a language...
Intraindividual measures, such as intraindividual standard deviation or coefficient of variation, are incomplete representations variability. Studying variability can be made...
This article proposes a new method for estimating derivatives on calculating the Empirical Bayes estimates of derivatives from a mixed...
Methods for fitting the damped linear oscillator model using differential equation modeling can yield biased parameter estimates when applied to...