书目名称 | Meta-Analysis |
副标题 | Methods for Health a |
编辑 | Shahjahan Khan |
视频video | |
概述 | 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 |
丛书名称 | Statistics for Biology and Health |
图书封面 |  |
描述 | .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 e |
出版日期 | Textbook 2020 |
关键词 | Meta-Analysis; MetaXL; Statistical Meta-Analysis; Medical Meta-Analysis; Effect Size Measures; Systematic |
版次 | 1 |
doi | https://doi.org/10.1007/978-981-15-5032-4 |
isbn_softcover | 978-981-15-5034-8 |
isbn_ebook | 978-981-15-5032-4Series ISSN 1431-8776 Series E-ISSN 2197-5671 |
issn_series | 1431-8776 |
copyright | Springer Nature Singapore Pte Ltd. 2020 |