Estimation of within-trial interactions in meta-analysis is crucial for reliable assessment of how treatment effects vary across participant subgroups. However, current methods have various limitations. Patients, clinicians and policy-makers need reliable estimates of treatment effects within specific covariate subgroups, on relative and absolute…

Synthesizing findings about the indirect (mediated) effect plays an important role in determining the mechanism through which variables affect one another. This simulation study compared six methods for synthesizing indirect effects: correlation-based MASEM, parameter-based MASEM, marginal likelihood synthesis, an adjustment to marginal likelihood…

Introduction: Assessment of resonance characteristics is essential in research and clinical practice in individuals with velopharyngeal impairment. The purpose of this study was to systematically review correlations between auditory perceptual ratings and nasalance scores obtained by a nasometer in individuals with resonance disorders and to…

Teacher wellbeing has received widespread and increasing global attention over the last decade due to high teacher turnover, growing teacher shortages, and the goal of improving the quality of teaching and student performance. No review has yet sought to undertake a cumulative quantitative assessment of the literature pertaining to teacher…

Network meta-analysis (NMA) uses both direct and indirect evidence to compare the efficacy and harm between several treatments. Structural equation modeling (SEM) is a statistical method that investigates relations among observed and latent variables. Previous studies have shown that the contrast-based Lu-Ades model for NMA can be implemented in…

Background: Model-based meta-analysis (MBMA) is increasingly used to inform drug-development decisions by synthesising results from multiple studies to estimate treatment, dose-response, and time-course characteristics. Network meta-analysis (NMA) is used in Health Technology Appraisals for simultaneously comparing effects of multiple treatments,…

Meta-analytic structural equation modeling (MASEM) combines the techniques of meta-analysis and structural equation modeling for the purpose of synthesizing correlation or covariance matrices and fitting structural equation models on the pooled correlation or covariance matrix. Both fixed-effects and random-effects models can be defined in MASEM.…

Bayesian statistical approaches to mixed treatment comparisons (MTCs) are becoming more popular because of their flexibility and interpretability. Many randomized clinical trials report multiple outcomes with possible inherent correlations. Moreover, MTC data are typically sparse (although richer than standard meta-analysis, comparing only two…

The association between object play and intentional communication was examined in children with autism spectrum disorder (ASD). Meta-analysis of concurrent and longitudinal correlational studies revealed significant associations between object play and intentional communication in young children with ASD. One well-conducted and internally valid,…

This meta-analysis synthesized 93 independent samples (N = 30,003) in 77 studies that reported in 78 articles examining correlations between achievement goals and achievement emotions. Achievement goals were meaningfully associated with different achievement emotions. The correlations of mastery and mastery approach goals with positive achievement…

Background: Prospective evidence on psychological outcomes for children with specific language impairments (SLI) is accumulating. To date, there has been no attempt to summarise what this evidence says about the strength of link between SLI and later child and adolescent emotional and behavioural (EB) outcomes. Methods: We undertook a systematic…

Models of stress and health suggest that emotions mediate the effects of stress on health; yet meta-analytic reviews have not confirmed these relationships. Categorizations of emotions along broad dimensions such as valence (e.g., positive and negative affect) may obscure important information about the effects of specific emotions on physiology.…