Effective interventions may not be limited to changing means, but instead may also include changes to how variables affect each...
This article proposes a new method for estimating derivatives on calculating the Empirical Bayes estimates of derivatives from a mixed...
Time is unlike any other variable. This chapter considers the difference in perspectives offered by discrete-time and continuous-time approached to...
This essay reviews emerging trends in modeling repeated measures data. Three longitudinal models are discussed: panel model designs, growth curve...
Rapid Cycling Bipolar Disorder outpatients completed twice-daily mood self-ratings for 3 consecutive months. These ratings were matched with local measurements...
Using embedded and observed data matrices, a statistical approach to differential equation modeling is presented. This approach appears robust to...
Brief summary of post contents Generalized Local Linear Approximation is a generalization of local linear approximation of derivatives (LLA, Boker...
Stochastic differential equation (SDE) models are a promising method for modeling intraindividual change and variability. This method uses structural equation...
Historically, it has been easier to describe differences between groups of people, rather than describe the dynamic ways that people...
This article describes a model based on a reservoir. This model might be useful for constructs (e.g., stress), where events...