Results 221 to 230 of about 62,585 (293)
Adolescents' trajectories of mental health in the MYRIAD trial
Abstract Background This study explored adolescent's mental health trajectories over the course of a school‐based mindfulness‐based intervention trial (MYRIAD). It examined whether intervention condition (mindfulness vs. teaching‐as‐usual), individual‐level and contextual‐level factors were associated with different trajectories.
Carolina Guzman Holst +8 more
wiley +1 more source
Standardized survival probabilities and contrasts between hierarchical units in multilevel survival models. [PDF]
Gasparini A, Crowther MJ, Schaffer JM.
europepmc +1 more source
Abstract Background Genetic epidemiological analyses of child and adolescent mental health often use data from prospective longitudinal cohorts. Missingness due to selective attrition is therefore an important potential source of bias in such analyses.
Meseret M. Bazezew +4 more
wiley +1 more source
Estimating and Evaluating Counterfactual Prediction Models. [PDF]
Boyer CB, Dahabreh IJ, Steingrimsson JA.
europepmc +1 more source
Abstract Background Understanding symptom patterns of emerging psychopathology is essential for early detection and intervention. Network analysis offers a promising approach by conceptualizing emerging psychopathology as dynamic interactions between symptoms over time.
Xenia A. Häfeli +3 more
wiley +1 more source
Generalised random tessellation stratified sampling over auxiliary spaces. [PDF]
Robertson BL +3 more
europepmc +1 more source
Disrupting the Chain of Displaced Aggression: A Review and Agenda for Future Research
ABSTRACT Displaced aggression refers to instances in which a person redirects their harm‐doing behavior from a primary to a secondary, substitute target. Since the publication of the first empirical article in 1948, there has been a noticeable surge in research referencing this theory in both management and psychology journals.
Constantin Lagios +4 more
wiley +1 more source
Penalized eigenvalue block averaging: Extension to nested model comparison and Monte Carlo evaluations. [PDF]
Foldnes N, Grønneberg S, Moss J.
europepmc +1 more source
ABSTRACT Human teams with distributed knowledge can make high‐quality decisions but often fail due to decision‐making asymmetries. As AI team members become integrated collaborators, understanding how AI can reduce these decision‐making asymmetries is essential. However, little is known about how AI team members can reduce these asymmetries and whether
Désirée Zercher +3 more
wiley +1 more source
Path Analysis With Mixed-Scale Variables: Categorical ML, Least Squares, and Bayesian Estimations. [PDF]
Liang X, Castro P, Cao C, Lo WJ.
europepmc +1 more source

