In network meta-analysis (NMA), we synthesize all relevant evidence about health outcomes with competing treatments. The evidence may come from randomized clinical trials (RCT) or non-randomized studies (NRS) as individual participant data (IPD) or as aggregate data (AD). We present a suite of Bayesian NMA and network meta-regression (NMR) models…

Individual participant data meta-analyses (IPD-MAs) have several benefits over standard aggregate data meta-analyses, including the consideration of additional participants, follow-up time, and the joint consideration of study- and participant-level heterogeneity for improved diagnostic and prognostic model development and evaluation. However,…

Multitiered systems of support provide a framework for matching the needs of a struggling student with an appropriate intervention. Experimental evaluations of tiered support systems in grade schools have been conducted for decades but have been less frequently examined in early childhood contexts. A recent meta-analysis of multitiered systems of…

Case-mix heterogeneity across studies complicates meta-analyses. As a result of this, treatments that are equally effective on patient subgroups may appear to have different effectiveness on patient populations with different case mix. It is therefore important that meta-analyses be explicit for what patient population they describe the treatment…

We conducted a meta-analysis of single-subject research studies investigating the effectiveness of antecedent strategies grounded in behavioral momentum for improving compliance and on-task performance for students with autism. First, we assessed the research rigor of those studies meeting our inclusionary criteria. Next, in order to apply a…

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…

Attention-Deficit/Hyperactivity Disorder (ADHD) is a neurodevelopmental disability characterized by symptoms of inattention, hyperactivity and impulsiveness, which may cause impairment in a variety of cognitive, social, behavioral, and emotional domains. Extensive research has been conducted to determine the best course of treatment for…

Individual participant data (IPD) meta-analysis is an increasingly used approach for synthesizing and investigating treatment effect estimates. Over the past few years, numerous methods for conducting an IPD meta-analysis (IPD-MA) have been proposed, often making different assumptions and modeling choices while addressing a similar research…

Distributed data networks representing large diverse populations are an expanding focus of drug safety research. However, interpreting results is difficult when treatment effect estimates vary across datasets (i.e., heterogeneity). In a previous study, risk estimates were generated for selected drugs and potential adverse outcomes. Analyses were…

The purpose of this review was to identify naturalistic language interventions for increasing spontaneous expressive language (defined in this review as absence of verbal prompt or other verbalization from adults or peers) in young children with autism spectrum disorder. Also, the methodological rigor and effectiveness of each study were evaluated…

Background: The efficacy of three dietary treatments for ADHD has been repeatedly tested in randomized controlled trials (RCTs). These interventions are restricted elimination diets (RED), artificial food colour elimination (AFCE) and supplementation with free fatty acids (SFFA). There have been three systematic reviews and associated…

This study aims to review studies on virtual learning environments in Turkey through the content analysis method. 63 studies consisting of thesis, articles and proceedings published in Turkish and English between 1996-2014 years were analyzed. It was observed that "Second Life" was mostly preferred as the virtual learning environment.…

Meta-analytic methods are often used to determine the effectiveness of certain treatments across studies. However, we are often unaware of how a meta-analysis can provide value to researchers and practitioners. This paper offers a brief commentary on a meta-analysis conducted by Lin, Huang and Liou (2013) in LLT, providing further statistical…

Objective: The objective was to quantitatively and qualitatively examine the efficacy of DBT (e.g., decreasing life-threatening suicidal and parasuicidal acts, attrition, and depression) explicitly with borderline personality disorder (BPD) and using conservative assumptions and criteria, across treatment providers and settings. Method: Five…

Purpose: To evaluate the effectiveness of behavioral interventions designed to treat stuttering in children. Method: Studies were included for review if (a) the treatment was a behavioral intervention, (b) participants were between 2 and 18 years old, (c) the design was an experimental or quasi-experimental group design, and (d) the reported…