Journal ArticleDOI
Combining effect size estimates in meta-analysis with repeated measures and independent-groups designs.
TLDR
In this paper, a method for combining results across independent-groups and repeated measures designs is described, and the conditions under which such an analysis is appropriate are discussed, and a meta-analysis procedure using design-specific estimates of sampling variance is described.Abstract:
When a meta-analysis on results from experimental studies is conducted, differences in the study design must be taken into consideration. A method for combining results across independent-groups and repeated measures designs is described, and the conditions under which such an analysis is appropriate are discussed. Combining results across designs requires that (a) all effect sizes be transformed into a common metric, (b) effect sizes from each design estimate the same treatment effect, and (c) meta-analysis procedures use design-specific estimates of sampling variance to reflect the precision of the effect size estimates.read more
Citations
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Journal ArticleDOI
The Effects of Set Structure Manipulation on Chronic Adaptations to Resistance Training: A Systematic Review and Meta-Analysis
Ivan Jukic,Bas Van Hooren,Amador García Ramos,Amador García Ramos,Eric R. Helms,Michael R. McGuigan,James J. Tufano +6 more
TL;DR: In this paper, a systematic review and meta-analysis was performed to synthesise the available evidence on the effectiveness of traditional (TS), cluster (CS) and rest redistribution (RR) set structures in promoting chronic RT adaptations, and provide an overview of the factors which might differentially influence the magnitude of specific training adaptations between set structure types.
Journal ArticleDOI
Early improvement in HAMD-17 and HAMD-7 scores predict response and remission in depressed patients treated with fluoxetine or electroconvulsive therapy.
TL;DR: HAMD-7 is a clinically useful measure that is capable of detecting early improvement of depressive symptoms and may have the potential to inform clinical assessment as part of measurement-based care.
Journal ArticleDOI
Retroactive interference in short-term memory and the word-length effect
TL;DR: This study shows that long words produce more retroactive interference than short words, supporting an interference-based account for the word-length effect.
Journal ArticleDOI
Error correction and spatial generalization in human grasp control.
TL;DR: A dynamic model of grasp planning and adaptation is developed that can explain why some studies find decrements in illusion effects on grasping while others do not, and how the surprising flexibility of grasp adaptation can hide the true effects of visual perturbations on the visual processes that drive grasp planning.
Journal ArticleDOI
A Novel Individual Metabolic Brain Network for 18F-FDG PET Imaging
TL;DR: The result has shown the effectiveness and feasibility of the proposed individual metabolic network in differentiating disease groups in AD and the intra- and inter-hemispheric connectivity patterns estimated from the individual network are similar to those from the group-based method.
References
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Book
Statistical Principles in Experimental Design
TL;DR: In this article, the authors introduce the principles of estimation and inference: means and variance, means and variations, and means and variance of estimators and inferors, and the analysis of factorial experiments having repeated measures on the same element.
Journal ArticleDOI
Statistical Principles in Experimental Design
TL;DR: This chapter discusses design and analysis of single-Factor Experiments: Completely Randomized Design and Factorial Experiments in which Some of the Interactions are Confounded.
Book
Statistical Methods for Meta-Analysis
Larry V. Hedges,Ingram Olkin +1 more
TL;DR: In this article, the authors present a model for estimating the effect size from a series of experiments using a fixed effect model and a general linear model, and combine these two models to estimate the effect magnitude.
Journal ArticleDOI
Statistical Methods for Meta-Analysis.
TL;DR: In this paper, the authors present a model for estimating the effect size from a series of experiments using a fixed effect model and a general linear model, and combine these two models to estimate the effect magnitude.