LEADER 03151nam 2200493 450 001 9910483952403321 005 20211014134742.0 010 $a981-15-5032-8 024 7 $a10.1007/978-981-15-5032-4 035 $a(CKB)4100000011528434 035 $a(MiAaPQ)EBC6380782 035 $a(DE-He213)978-981-15-5032-4 035 $a(MiAaPQ)EBC6523228 035 $a(Au-PeEL)EBL6380782 035 $a(OCoLC)1202744101 035 $a(PPN)269145370 035 $a(EXLCZ)994100000011528434 100 $a20211014d2020 uy 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMeta-analysis $emethods for health and experimental studies /$fShahjahan Khan 205 $a1st ed. 2020. 210 1$aGateway East, Singapore :$cSpringer,$d[2020] 210 4$dİ2020 215 $a1 online resource (XIV, 293 p. 79 illus., 66 illus. in color.) 225 1 $aStatistics for Biology and Health,$x1431-8776 311 $a981-15-5031-X 327 $aChapter 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. 330 $aThis book focuses on performing hands-on meta-analysis using MetaXL, a free add-on to MS Excel. The illustrative examples are taken mainly from medical and health sciences studies, but the generic methods can be used to perform meta-analysis on data from any other discipline. The book adopts a step-by-step approach to perform meta-analyses and interpret the results. Stata codes for meta-analyses are also provided. All popularly used meta-analytic methods and models ? such as the fixed effect model, random effects model, inverse variance heterogeneity model, and quality effect model ? are used to find the confidence interval for the effect size measure of independent primary studies and the pooled study. In addition to the commonly used meta-analytic methods for various effect size measures, the book includes special topics such as meta-regression, dose-response meta-analysis, and publication bias. The main attraction for readers is the book?s simplicity and straightforwardness in conducting actual meta-analysis using MetaXL. Researchers would easily find everything on meta-analysis of any particular effect size in one specific chapter once they could determine the underlying effect measure. Readers will be able to see the results under different models and also will be able to select the correct model to obtain accurate results. 410 0$aStatistics for Biology and Health,$x1431-8776 606 $aMeta-analysis 615 0$aMeta-analysis. 676 $a610.72 700 $aKhan$b Shahjahan$0845944 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483952403321 996 $aMeta-analysis$91889145 997 $aUNINA