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  • 1
    Online Resource
    Online Resource
    Singapore : Springer Singapore | Singapore : Springer
    UID:
    b3kat_BV046974099
    Format: 1 Online-Ressource (XIV, 293 p. 79 illus., 66 illus. in color)
    Edition: 1st ed. 2020
    ISBN: 9789811550324
    Series Statement: Statistics for Biology and Health
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-155-031-7
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-155-033-1
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-155-034-8
    Language: English
    Subjects: Psychology , Medicine
    RVK:
    RVK:
    URL: Volltext  (URL des Erstveröffentlichers)
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    Online Resource
    Online Resource
    Singapore : Springer Singapore | Singapore : Imprint: Springer
    UID:
    gbv_1737525739
    Format: 1 Online-Ressource(XIV, 293 p. 79 illus., 66 illus. in color.)
    Edition: 1st ed. 2020.
    ISBN: 9789811550324
    Series Statement: Statistics for Biology and Health
    Content: 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.
    Content: 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.
    Additional Edition: ISBN 9789811550317
    Additional Edition: ISBN 9789811550331
    Additional Edition: ISBN 9789811550348
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9789811550317
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9789811550331
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9789811550348
    Language: English
    URL: Cover
    Library Location Call Number Volume/Issue/Year Availability
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  • 3
    Online Resource
    Online Resource
    Singapore :Springer Singapore :
    UID:
    almahu_9948595218302882
    Format: XIV, 293 p. 79 illus., 66 illus. in color. , online resource.
    Edition: 1st ed. 2020.
    ISBN: 9789811550324
    Series Statement: Statistics for Biology and Health,
    Content: 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.
    Note: 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.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9789811550317
    Additional Edition: Printed edition: ISBN 9789811550331
    Additional Edition: Printed edition: ISBN 9789811550348
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 4
    Online Resource
    Online Resource
    Singapore :Springer Singapore, | Singapore :Springer.
    UID:
    edocfu_BV046974099
    Format: 1 Online-Ressource (XIV, 293 p. 79 illus., 66 illus. in color).
    Edition: 1st ed. 2020
    ISBN: 978-981-155-032-4
    Series Statement: Statistics for Biology and Health
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-155-031-7
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-155-033-1
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-155-034-8
    Language: English
    Subjects: Psychology , Medicine
    RVK:
    RVK:
    URL: Volltext  (URL des Erstveröffentlichers)
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 5
    Online Resource
    Online Resource
    Singapore :Springer Singapore, | Singapore :Springer.
    UID:
    edoccha_BV046974099
    Format: 1 Online-Ressource (XIV, 293 p. 79 illus., 66 illus. in color).
    Edition: 1st ed. 2020
    ISBN: 978-981-155-032-4
    Series Statement: Statistics for Biology and Health
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-155-031-7
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-155-033-1
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-155-034-8
    Language: English
    Subjects: Psychology , Medicine
    RVK:
    RVK:
    URL: Volltext  (URL des Erstveröffentlichers)
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
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