Statistical Meta-Analysis with Applications

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August 2008



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.


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.


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.


"The strength of this book is certainly the detailed development and presentation of inference for normal fixed and random effects models as applied in meta-analysis and similar studies, such as inter-laboratory studies. A particularly well done part of the book centers on homogeneity testing and on confidence interval estimation of the so-called heterogeneity parameter in the standard random effects model." (Journal of Biopharmaceutical Statistics, January 2010) "The authors have written a good guide to a broad section of the methods available for statistical meta-analysis." (Mathematical Reviews, 2009) "[The authors], active researchers themselves, have done a commendable job in writing this introductory book noted for its clarity and style of presentation and coverage of some totally new topics." (Choice, April 2009)

EAN: 9780470290897
ISBN: 0470290897
Untertitel: 'Wiley Series in Probability and Statistics'. 1. Auflage. Sprache: Englisch.
Erscheinungsdatum: August 2008
Seitenanzahl: 247 Seiten
Format: gebunden
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