國立虎尾科技大學 |

Meta-Analysis = Methods for Health and Experimental Studies /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Meta-Analysis/ by Shahjahan Khan.
其他題名:	Methods for Health and Experimental Studies /
作者:	Khan, Shahjahan.
面頁冊數:	XIV, 293 p. 79 illus., 66 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Statistics for Social Sciences, Humanities, Law. -
電子資源:	https://doi.org/10.1007/978-981-15-5032-4
ISBN:	9789811550324

Meta-Analysis = Methods for Health and Experimental Studies /
Khan, Shahjahan.

Meta-AnalysisMethods for Health and Experimental Studies /[electronic resource] :by Shahjahan Khan. - 1st ed. 2020. - XIV, 293 p. 79 illus., 66 illus. in color.online resource. - 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

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

1211304
Statistics for Social Sciences, Humanities, Law.

LC Class. No.: QA276-280

Dewey Class. No.: 519.5

Meta-Analysis = Methods for Health and Experimental Studies /
LDR:03169nam a22004215i 4500 001 1019105
003 DE-He213
005 20201027085757.0
007 cr nn 008mamaa
008 210318s2020 si | s |||| 0|eng d
020 $a 9789811550324 $9 978-981-15-5032-4
024 7 $a 10.1007/978-981-15-5032-4 $2 doi
035 $a 978-981-15-5032-4
050 4 $a QA276-280
072 7 $a PBT $2 bicssc
072 7 $a MED090000 $2 bisacsh
072 7 $a PBT $2 thema
072 7 $a MBNS $2 thema
082 0 4 $a 519.5 $2 23
100 1 $a Khan, Shahjahan. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1314257
245 1 0 $a Meta-Analysis $h [electronic resource] : $b Methods for Health and Experimental Studies / $c by Shahjahan Khan.
250 $a 1st ed. 2020.
264 1 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2020.
300 $a XIV, 293 p. 79 illus., 66 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Statistics for Biology and Health, $x 1431-8776
505 0 $a 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.
520 $a 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.
650 2 4 $a Statistics for Social Sciences, Humanities, Law. $3 1211304
650 2 4 $a Research Methodology. $3 1106280
650 2 4 $a Research Skills. $3 1204754
650 1 4 $a Statistics for Life Sciences, Medicine, Health Sciences. $3 670172
650 0 $a Sociology—Research. $3 1266698
650 0 $a Study skills. $3 555060
650 0 $a Biostatistics. $3 783654
650 0 $a Statistics . $3 1253516
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9789811550317
776 0 8 $i Printed edition: $z 9789811550331
776 0 8 $i Printed edition: $z 9789811550348
830 0 $a Statistics for Biology and Health, $x 1431-8776 $3 1254965
856 4 0 $u https://doi.org/10.1007/978-981-15-5032-4
912 $a ZDB-2-SMA
912 $a ZDB-2-SXMS
950 $a Mathematics and Statistics (SpringerNature-11649)
950 $a Mathematics and Statistics (R0) (SpringerNature-43713)