Joachim Hartung, Guido Knapp, Bimal K. Sinha

Statistical Meta-Analysis with Applications

• Gebundenes Buch

Produktbeschreibung

Mehr als zehnjährige Erfahrung in der Verbesserung von Methoden zur Meta-Analyse fließen in dieses Werk ein, wobei vollkommen neue Aspekte und Möglichkeiten zur Verbindung einzelner Verfahren aufgezeigt werden. Auch die elektronischen Verarbeitungsmöglichkeiten von Daten hierzu wird besprochen.

Produktdetails

• Wiley Series in Probability and Statistics
• Verlag: Wiley & Sons
• 1. Auflage
• Seitenzahl: 272
• Erscheinungstermin: 1. August 2008
• Englisch
• Abmessung: 240mm x 161mm x 19mm
• Gewicht: 525g
• ISBN-13: 9780470290897
• ISBN-10: 0470290897
• Artikelnr.: 23559067

Autorenporträt

JOACHIM HARTUNG, PhD, is Professor in the Department of Statistics at the Dortmund University of Technology, Germany. He has published several books and two dozen journal articles in the field of statistics. GUIDO KNAPP, PhD, is Assistant Professor in the Department of Statistics at the Dortmund University of Technology, Germany. Dr. Knapp's areas of research interest include variance component models, error components regression models, meta-analysis, and flexible design in clinical trials. BIMAL K. SINHA, PhD, is Presidential Research Professor of Statistics in the Department of Mathematics and Statistics at the University of Maryland at Baltimore County (UMBC). A Fellow of both the Institute of Mathematical Statistics and the American Statistical Association, Dr. Sinha's research specializes in the areas of multivariate analysis, mixed linear models, decision theory, robustness, and environmental statistics.

Inhaltsangabe

Preface. 1. Introduction. 2. Various Measures of Effect Size. 2.1 Effect
Size based on Means. 2.2 Effect Size based on Proportions. 2.3 Effect Size
based on - Coefficient and Odds Ratio. 2.4 Effect Size based on
Correlation. 3. Combining Independent Tests. 3.1 Introduction. 3.2
Description of Combined Tests. 4. Methods of Combining Effect Sizes. 5.
Inference about a Common Mean of Several Univariate Normal Populations. 5.1
Results on Common Mean Estimation. 5.2 Asymptotic Comparison of Some
Estimates of Common Mean for k = 2 Populations. 5.3 Confidence Intervals
for the Common Mean. 5.4 Applications. 5.5 Appendix: Theory of Fisher's
Method. 6. Tests of Homogeneity in Meta-Analysis. 6.1 Model and Test
Statistics. 6.2 An Exact Test of Homogeneity. 6.3 Applications. 7. One-Way
Random Effects Model. 7.1 Introduction. 7.2 Homogeneous Error Variances.
7.3 Heterogeneous Error Variances. 8. Combining Controlled Trials with
Normal Outcomes. 8.1 Difference of Means. 8.2 Standardized Difference of
Means. 8.3 Ratio of Means. 9. Combining Controlled Trials with Discrete
Outcomes. 9.1 Binary Data. 9.2 Ordinal Data. 10. Meta-Regression. 10.1
Model with One Covariate. 10.2 Model with More Than One Covariate. 10.3
Further Extensions and Applications. 11. Multivariate Meta-Analysis. 11.1
Combining Multiple Dependent Variables from a Single Study. 11.2 Modeling
Multivariate Effect Sizes. 12. Bayesian Meta-Analysis. 12.1 A General
Bayesian Model for Meta-Analysis under Normality. 12.2 Further Examples of
Bayesian Analyses. 12.3 A Unified Bayesian Approach to Meta-Analysis. 12.4
Further Results on Bayesian Meta-Analysis. 13. Publication Bias. 14.
Recovery of Inter-Block Information. 14.1 Notations and Test Statistics.
14.2 BIBD with Fixed Treatment Effects. 15. Combination of Polls. 15.1
Formulation of the Problem. 15.2 Meta-Analysis of Polls. 16. Vote Counting
Procedures. 17. Computational Aspects. 17.1 Extracting Summary Statistics.
17.2 Combining Tests. 17.3 Generalized P-values. 17.4 Combining Effect
Sizes. 18. Data Sets. 18.1 Validity Studies. 18.2 Effects of Teacher
Expectance on Pupil IQ. 18.3 Dentifrice Data. 18.4 Effectiveness of
Amlodipine on Work Capacity. 18.5 Effectiveness of Cisapride on the
Treatment of Nonulcer Dyspepsia. 18.6 Secondhand Smoking. 18.7
Effectiveness of Misoprostol in Preventing Gastrointestinal Damage. 18.8
Prevention of Tuberculosis. References. Index.