Objective The current study aimed to address and rank which exercise‐based interventions
are preferable to standard care/no therapy or another exercise intervention for postpartum …

The simple act of deciding which among competing theories is most likely—or which is most
supported by the data—is the most basic goal of empirical science, but the fact that it has a …

Children experiencing psychosocial deprivation as a result of early institutional rearing
demonstrate many difficulties with memory and executive functioning (EF). To date, there is …

An intermediate-level treatment of Bayesian hierarchical models and their applications, this
book demonstrates the advantages of a Bayesian approach to data sets involving inferences …

Background Metastatic triple-negative breast cancer (mTNBC) is an aggressive histological
subtype with poor prognosis. Several first-line treatments are currently available for mTNBC …

The influx of intensive longitudinal data creates a pressing need for complex modeling tools
that help enrich our understanding of how individuals change over time. Multilevel vector …

This paper sought to analyze the moderating effect of clean energy innovation on the
relationship between corporate carbon footprint and corporate profits in fossil fuel intensive …

Hypothesis testing is a special form of model selection. Once a pair of competing models is
fully defined, their definition immediately leads to a measure of how strongly each model …

Similarity-based categorization can be performed by memorizing category members as
exemplars or by abstracting the central tendency of the category–the prototype. In similarity …

Background: Tracking gestational weight gain (GWG) during pregnancy makes it possible to
optimize pregnancy outcomes, and GWG growth curves are well suitable for this purpose …