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
Health Utility Bias: A Systematic Review and Meta-Analytic Evaluation
TL;DR: The results of this study do not support the common view that RS values are lower than TTO values, may suggest that TTO biases largely cancel, and support the validity of formulas for correcting SG bias.
Journal ArticleDOI
Processes of change in Acceptance and Commitment Therapy and Applied Relaxation for long-standing pain.
Mike K. Kemani,Mike K. Kemani,Hugo Hesser,Gunnar L. Olsson,Gunnar L. Olsson,Mats Lekander,Mats Lekander,Rikard K. Wicksell,Rikard K. Wicksell +8 more
TL;DR: There is a particular need for mediation analyses that use multiple assessments to model change in mediators and outcome over time, and that incorporate the specified timeline between mediator and outcome in the data analytic model.
Journal ArticleDOI
On the optimal focus of attention for efficient running at high intensity.
TL;DR: In this article, the authors assessed whether this finding also holds for running at high intensity levels despite predictions of Tenenbaum's (2001) model, which holds that an external focus of attention leads to improved running economy compared with an internal focus.
Journal ArticleDOI
Early improvement in PANSS-30, PANSS-8, and PANSS-6 scores predicts ultimate response and remission during acute treatment of schizophrenia.
TL;DR: This work investigates whether PANSS‐8 or PANSS-6 is a reliable, valid, sensitive to change measure, and scalable, and whether early improvement using them can predict response/remission.
Journal ArticleDOI
Approximate Confidence Intervals for Standardized Effect Sizes in the Two-Independent and Two-Dependent Samples Design
TL;DR: The authors summarizes several closed-form approximations to the exact confidence interval bounds in the two-independent and two-dependent samples design, and Monte Carlo simulations are conducted to determine the accuracy of the various approximation under a wide variety of conditions.
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.