This article argues that ideal longitudinal research is characterized by the seamless integration
of three elements: (a) a well-articulated theoretical model of change observed using (b) a …

Recently, adaptive interventions have emerged as a new perspective on prevention and
treatment. Adaptive interventions resemble clinical practice in that different dosages of certain …

The wide variety of dissemination and implementation designs now being used to evaluate
and improve health systems and outcomes warrants review of the scope, features, and …

A modern, comprehensive treatment of latent class and latent transition analysis for categorical
data On a daily basis, researchers in the social, behavioral, and health sciences collect …

Two classes of modem missing data procedures, maximum likelihood (ML) and multiple
imputation (MI), tend to yield similar results when implemented in comparable ways. In either …

Background The just-in-time adaptive intervention (JITAI) is an intervention design aiming to
provide the right type/amount of support, at the right time, by adapting to an individual’s …

Latent class analysis (LCA) is a statistical method used to identify a set of discrete, mutually
exclusive latent classes of individuals based on their responses to a set of observed …

… To illustrate MOST, we offer a brief hypothetical example similar to the one in Collins et al.
The example is based on (but not identical to or an account of) the work of one of the authors …

The present article provides an alternative framework for evaluating mediated relationships.
From this perspective. a mediated process is a chain reaction, beginning with an …

Digital health interventions have enormous potential as scalable tools to improve health
and healthcare delivery by improving effectiveness, efficiency, accessibility, safety, and …