Introduction, comparison, and validation of Meta‐Essentials: A free and simple tool for meta‐analysis
| Autor: | Robert Suurmond, Tony Hak, Henk van Rhee |
|---|---|
| Přispěvatelé: | Department of Technology and Operations Management |
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Computer science
Subgroup analysis Validation Studies as Topic computer.software_genre Structural equation modeling Education SUPPLIER INTEGRATION CONFIDENCE-INTERVALS 03 medical and health sciences 0302 clinical medicine Software Resource (project management) Meta-Analysis as Topic Covariate Software Review Humans HETEROGENEITY COHORT 030212 general & internal medicine EFFECT SIZE Models Statistical business.industry Computers software Estimator PRODUCT DEVELOPMENT tool meta-analysis Range (mathematics) meta‐analysis New product development research synthesis RELATIVE RISK Microsoft Excel Regression Analysis BUYER-SUPPLIER Programming Languages Data mining business computer Publication Bias freeware 030217 neurology & neurosurgery Algorithms CLINICAL-TRIALS |
| Zdroj: | Research Synthesis Methods, 8(4), 537-553. Wiley Research Synthesis Methods, 8(4), 537-553. John Wiley & Sons Ltd. Research Synthesis Methods |
| ISSN: | 1759-2879 1759-2887 |
| Popis: | We present a new tool for meta?analysis, Meta?Essentials, which is free of charge and easy to use. In this paper, we introduce the tool and compare its features to other tools for meta?analysis. We also provide detailed information on the validation of the tool. Although free of charge and simple, Meta?Essentials automatically calculates effect sizes from a wide range of statistics and can be used for a wide range of meta?analysis applications, including subgroup analysis, moderator analysis, and publication bias analyses. The confidence interval of the overall effect is automatically based on the Knapp?Hartung adjustment of the DerSimonian?Laird estimator. However, more advanced meta?analysis methods such as meta?analytical structural equation modelling and meta?regression with multiple covariates are not available. In summary, Meta?Essentials may prove a valuable resource for meta?analysts, including researchers, teachers, and students. Metrics Article has an altmetric score of 19 Details © 2017 The Authors. Research Synthesis Methods published by John Wiley & Sons Ltd. |
| Databáze: | OpenAIRE |
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