KI-Beratung Beta

Produktbild: Introduction to Meta-Analysis 2e

Introduction to Meta-Analysis 2e

87,99 €

inkl. gesetzl. MwSt., Versandkostenfrei


Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

26.04.2021

Verlag

John Wiley & Sons Inc

Seitenzahl

544

Maße (L/B/H)

26,1/18,2/3,6 cm

Gewicht

1148 g

Auflage

2. Auflage

Sprache

Englisch

ISBN

978-1-119-55835-4

Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

26.04.2021

Verlag

John Wiley & Sons Inc

Seitenzahl

544

Maße (L/B/H)

26,1/18,2/3,6 cm

Gewicht

1148 g

Auflage

2. Auflage

Sprache

Englisch

ISBN

978-1-119-55835-4

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: gpsr@libri.de

Noch keine Bewertungen vorhanden

Verfassen Sie die erste Bewertung zu diesem Artikel

Helfen Sie anderen Kundinnen und Kunden durch Ihre Meinung.

Kundinnen und Kunden meinen

Bewertungen (0)

Die Leseprobe wird geladen.
  • Produktbild: Introduction to Meta-Analysis 2e
  • List of Tables xv
    List of Figures xix
    Acknowledgements xxv
    Preface xxvii
    Preface to the Second Edition xxxv
    Website xxxvii

    Part 1: Introduction
    1 How a Meta-Analysis Works 3
    2 Why Perform a Meta-Analysis 9

    Part 2: Effect Size and Precision
    3 Overview 17
    4 Effect Sizes Based On Means 21
    5 Effect Sizes Based On Binary Data (2 × 2 Tables) 33
    6 Effect Sizes Based On Correlations 39
    7 Converting Among Effect Sizes 43
    8 Factors That Affect Precision 49
    9 Concluding Remarks 55

    Part 3: Fixed-Effect Versus Random-Effects Models
    10 Overview 59
    11 Fixed-Effect Model 61
    12 Random-Effects Model 65
    13 Fixed-Effect Versus Random-Effects Models 71
    14 Worked Examples (Part 1) 81

    Part 4: Heterogeneity
    15 Overview 97
    16 Identifying and Quantifying Heterogeneity 99
    17 Prediction Intervals 119
    18 Worked Examples (Part 2) 127
    19 An Intuitive Look At Heterogeneity 139
    20 Classifying Heterogeneity As Low, Moderate, Or High 155

    Part 5: Explaining Heterogeneity
    21 Subgroup Analyses 161
    22 Meta-Regression 197
    23 Notes On Subgroup Analyses and Meta-Regression 213

    Part 6: Putting It All In Context
    24 Looking At the Whole Picture 223
    25 Limitations of the Random-Effects Model 233
    26 Knapp-Hartung Adjustment 243

    Part 7: Complex Data Structures
    27 Overview 253
    28 Independent Subgroups Within a Study 255
    29 Multiple Outcomes or Time-Points Within A Study 263
    30 Multiple Comparisons Within a Study 277
    31 Notes On Complex Data Structures 281

    Part 8: Other Issues
    32 Overview 287
    33 Vote Counting - A New Name For An Old Problem 289
    34 Power Analysis For Meta-Analysis 295
    35 Publication Bias 313

    Part 9: Issues Related To Effect Size
    36 Overview 335
    37 Effect Sizes Rather Than P-Values 337
    38 Simpson's Paradox 343
    39 Generality of the Basic Inverse-Variance Method 349

    Part 10: Further Methods
    40 Overview 361
    41 Meta-Analysis Methods Based On Direction and P-Values 363
    42 Further Methods For Dichotomous Data 369
    43 Psychometric Meta-Analysis 377

    Part 11: Meta-Analysis In Context
    44 Overview 391
    45 When Does It Make Sense To Perform a Meta-Analysis? 393
    46 Reporting The Results of a Meta-Analysis 401
    47 Cumulative Meta-Analysis 407
    48 Criticisms of Meta-Analysis 413
    49 Comprehensive Meta-Analysis Software 425
    50 How To Explain the Results of An Analysis 443

    Part 12: Resources
    51 Software For Meta-Analysis 471
    52 Web Sites, Societies, Journals, and Books 473

    Web sites 473
    Professional societies 476
    Journals 476
    Special issues dedicated to meta-analysis 477
    Books on systematic review methods and meta-analysis 477
    References 479
    Index 491