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Meta-analysismethods for health and ...

Khan, Shahjahan.

Meta-analysismethods for health and experimental studies /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Meta-analysisby Shahjahan Khan.
其他題名:	methods for health and experimental studies /
作者:	Khan, Shahjahan.
出版者:	Singapore :Springer Singapore :2020.
面頁冊數:	xiv, 293 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Meta-analysis.
電子資源:	https://doi.org/10.1007/978-981-15-5032-4
ISBN:	9789811550324$q(electronic bk.)

Meta-analysismethods for health and experimental studies /
Khan, Shahjahan.

Meta-analysismethods for health and experimental studies /[electronic resource] :by Shahjahan Khan. - Singapore :Springer Singapore :2020. - xiv, 293 p. :ill., digital ;24 cm. - Statistics for biology and health,1431-8776. - Statistics for biology and health..

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.

This book focuses on performing hands-on meta-analysis using MetaXL, a free add-on to MS Excel. The illustrative examples are taken mainly from medical and health sciences studies, but the generic methods can be used to perform meta-analysis on data from any other discipline. The book adopts a step-by-step approach to perform meta-analyses and interpret the results. Stata codes for meta-analyses are also provided. 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.

ISBN: 9789811550324$q(electronic bk.)

Standard No.: 10.1007/978-981-15-5032-4doiSubjects--Topical Terms:

224398
Meta-analysis.

LC Class. No.: QA276 / .K43 2020

Dewey Class. No.: 519.5

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