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All popularly used meta-analytic methods and models ¿ such as the fixed effect model, random effects model, inverse variance heterogeneity model, and quality effect model ¿ are used to find the confidence interval for the effect size measure of independent primary studies and the pooled study. In addition to the commonly used meta-analytic methods for various effect size measures, the book includes special topics such as meta-regression, dose-response meta-analysis, and publication bias.
The main attraction for readers is the book¿s simplicity and straightforwardness in conducting actual meta-analysis using MetaXL. Researchers would easily find everything on meta-analysis of any particular effect size in one specific chapter once they could determine the underlying effect measure. Readers will be able to see the results under different models and also will be able to select the correct model to obtain accurate results.
All popularly used meta-analytic methods and models ¿ such as the fixed effect model, random effects model, inverse variance heterogeneity model, and quality effect model ¿ are used to find the confidence interval for the effect size measure of independent primary studies and the pooled study. In addition to the commonly used meta-analytic methods for various effect size measures, the book includes special topics such as meta-regression, dose-response meta-analysis, and publication bias.
The main attraction for readers is the book¿s simplicity and straightforwardness in conducting actual meta-analysis using MetaXL. Researchers would easily find everything on meta-analysis of any particular effect size in one specific chapter once they could determine the underlying effect measure. Readers will be able to see the results under different models and also will be able to select the correct model to obtain accurate results.
Explains how to perform meta-analysis using the easy-to-use statistical package MetaXL, a free add-on to MS Excel
Includes lesser-known models such as inverse variance heterogeneity and quality effect
Allows the reader to understand the statistical reasoning and methods behind meta-analysis, within the framework of systematic review and evidence-based decision-making
Makes it easy to compare results of meta-analyses based on different models
Chapter 1. Introduction to meta-analysis.- Chapter 2. Ratio measures.- Chapter 3. One proportion.- Chapter 4. Risk difference (Two proportions).- Chapter 5. Weighted mean difference.- Chapter 6. Standardized mean difference.- Chapter 7. Correlation coefficient.- Chapter 8. Meta-regression.- Chapter 9. Network meta-analysis.- Chapter 10. Publication bias.
Erscheinungsjahr: | 2021 |
---|---|
Fachbereich: | Wahrscheinlichkeitstheorie |
Genre: | Importe, Mathematik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Taschenbuch |
Inhalt: |
xiv
293 S. 13 s/w Illustr. 66 farbige Illustr. 293 p. 79 illus. 66 illus. in color. |
ISBN-13: | 9789811550348 |
ISBN-10: | 9811550344 |
Sprache: | Englisch |
Einband: | Kartoniert / Broschiert |
Autor: | Khan, Shahjahan |
Auflage: | 1st edition 2020 |
Hersteller: |
Springer Singapore
Springer Nature Singapore |
Verantwortliche Person für die EU: | Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com |
Maße: | 235 x 155 x 17 mm |
Von/Mit: | Shahjahan Khan |
Erscheinungsdatum: | 28.10.2021 |
Gewicht: | 0,47 kg |
Explains how to perform meta-analysis using the easy-to-use statistical package MetaXL, a free add-on to MS Excel
Includes lesser-known models such as inverse variance heterogeneity and quality effect
Allows the reader to understand the statistical reasoning and methods behind meta-analysis, within the framework of systematic review and evidence-based decision-making
Makes it easy to compare results of meta-analyses based on different models
Chapter 1. Introduction to meta-analysis.- Chapter 2. Ratio measures.- Chapter 3. One proportion.- Chapter 4. Risk difference (Two proportions).- Chapter 5. Weighted mean difference.- Chapter 6. Standardized mean difference.- Chapter 7. Correlation coefficient.- Chapter 8. Meta-regression.- Chapter 9. Network meta-analysis.- Chapter 10. Publication bias.
Erscheinungsjahr: | 2021 |
---|---|
Fachbereich: | Wahrscheinlichkeitstheorie |
Genre: | Importe, Mathematik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Taschenbuch |
Inhalt: |
xiv
293 S. 13 s/w Illustr. 66 farbige Illustr. 293 p. 79 illus. 66 illus. in color. |
ISBN-13: | 9789811550348 |
ISBN-10: | 9811550344 |
Sprache: | Englisch |
Einband: | Kartoniert / Broschiert |
Autor: | Khan, Shahjahan |
Auflage: | 1st edition 2020 |
Hersteller: |
Springer Singapore
Springer Nature Singapore |
Verantwortliche Person für die EU: | Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com |
Maße: | 235 x 155 x 17 mm |
Von/Mit: | Shahjahan Khan |
Erscheinungsdatum: | 28.10.2021 |
Gewicht: | 0,47 kg |