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Wagner, Richard K.; Moxley, Jerad; Schatschneider, Chris; Zirps, Fotena A. – Scientific Studies of Reading, 2023
Purpose: Bayesian-based models for diagnosis are common in medicine but have not been incorporated into identification models for dyslexia. The purpose of the present study was to evaluate Bayesian identification models that included a broader set of predictors and that capitalized on recent developments in modeling the prevalence of dyslexia.…
Descriptors: Bayesian Statistics, Identification, Dyslexia, Models
Jacobs, Perke; Viechtbauer, Wolfgang – Research Synthesis Methods, 2017
Meta-analyses are often used to synthesize the findings of studies examining the correlational relationship between two continuous variables. When only dichotomous measurements are available for one of the two variables, the biserial correlation coefficient can be used to estimate the product-moment correlation between the two underlying…
Descriptors: Sampling, Correlation, Meta Analysis, Measurement
Nguyen, Tuan D.; Kramer, Jenna W.; Evans, Brent J. – Review of Educational Research, 2019
The provision of grant aid is important to students' postsecondary opportunities and success. It is well established that grant aid increases the probability of enrollment in postsecondary education. A slate of studies in recent years has extended this research to examine whether grant aid also has an impact on persistence and degree attainment.…
Descriptors: Grants, Meta Analysis, Student Financial Aid, Educational Opportunities
Cafri, Guy; Banerjee, Samprit; Sedrakyan, Art; Paxton, Liz; Furnes, Ove; Graves, Stephen; Marinac-Dabic, Danica – Research Synthesis Methods, 2015
The motivating example for this paper comes from a distributed health data network, the International Consortium of Orthopaedic Registries (ICOR), which aims to examine risk factors for orthopedic device failure for registries around the world. Unfortunately, regulatory, privacy, and propriety concerns made sharing of raw data impossible, even if…
Descriptors: Meta Analysis, Surgery, Data, Networks
Hong, Hwanhee; Chu, Haitao; Zhang, Jing; Carlin, Bradley P. – Research Synthesis Methods, 2016
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…
Descriptors: Bayesian Statistics, Meta Analysis, Outcomes of Treatment, Comparative Analysis
Xu, Guifeng; Jing, Jin; Bowers, Katherine; Liu, Buyun; Bao, Wei – Journal of Autism and Developmental Disorders, 2014
We performed a systematic literature search regarding maternal diabetes before and during pregnancy and the risk of autism spectrum disorders (ASD) in the offspring. Of the 178 potentially relevant articles, 12 articles including three cohort studies and nine case-control studies were included in the meta-analysis. Both the meta-analyses of cohort…
Descriptors: Diabetes, Pregnancy, At Risk Persons, Literature Reviews