0

Meta Analysis

eBook - A Guide to Calibrating and Combining Statistical Evidence, Wiley Series in Probability and Statistics

Erschienen am 15.04.2008, Auflage: 1/2008
64,99 €
(inkl. MwSt.)

Download

E-Book Download
Bibliografische Daten
ISBN/EAN: 9780470985526
Sprache: Englisch
Umfang: 282 S., 2.68 MB
E-Book
Format: PDF
DRM: Adobe DRM

Beschreibung

Meta Analysis: A Guide to Calibrating and Combining Statistical Evidence acts as a source of basic methods for scientists wanting to combine evidence from different experiments. The authors aim to promote a deeper understanding of the notion of statistical evidence.

The book is comprised of two parts The Handbook, andThe Theory.The Handbook is a guide for combining and interpreting experimental evidence to solve standard statistical problems. This section allows someone with a rudimentary knowledge in general statistics to apply the methods.The Theory provides the motivation, theory and results of simulation experiments to justify the methodology.

This is a coherent introduction to the statistical concepts required to understand the authors thesis that evidence in a test statistic can often be calibrated when transformed to the right scale.

Autorenportrait

Dr. E. Kulinskaya Director, Statistical Advisory Service, Imperial College, London.

Professor S. Morgenthaler Chair of Applied Statistics, Ecole Polytechnique Fédérale de Lausanne, Switzerland. Professor Morgenthaler was Assistant Professor at Yale University prior to moving to EPFL and has chaired various ISI committees.

Professor R. G. Staudte Department of Statistical Science, La Trobe University, Melbourne. During his career at La Trobe he has served as Head of the Department of Statistical Science for five years and  Head of the School of Mathematical and Statistical Sciences for two years. He was an Associate Editor for the Journal of Statistical Planning& Inference for 4 years, and is a member of the American Statistical Association, the Sigma Xi Scientific Research Society and the Statistical Society of Australia.

Inhalt

Preface.

Part I The Methods.

1 What can the reader expect from this book?

1.1 A calibration scale for evidence.

1.2 The efficacy of glass ionomer versus resin sealants for prevention of caries.

1.3 Measures of effect size for two populations.

1.4 Summary.

2 Independent measurements with known precision.

2.1 Evidence for one-sided alternatives.

2.2 Evidence for two-sided alternatives.

2.3 Examples.

3 Independent measurements with unknown precision.

3.1 Effects and standardized effects.

3.2 Paired comparisons.

3.3 Examples.

4 Comparing treatment to control.

4.1 Equal unknown precision.

4.2 Differing unknown precision.

4.3 Examples.

5 Comparing K treatments.

5.1 Methodology.

5.2 Examples.

6 Evaluating risks.

6.1 Methodology.

6.2 Examples.

7 Comparing risks.

7.1 Methodology.

7.2 Examples.

8 Evaluating Poisson rates.

8.1 Methodology.

8.2 Example.

9 Comparing Poisson rates.

9.1 Methodology.

9.2 Example.

10 Goodness-of-fit testing.

10.1 Methodology.

10.2 Example.

11 Evidence for heterogeneity of effects and transformed effects.

11.1 Methodology.

11.2 Examples.

12 Combining evidence: fixed standardized effects model.

12.1 Methodology.

12.2 Examples.

13 Combining evidence: random standardized effects mode.

13.1 Methodology.

13.2 Example..

14 Meta-regression.

14.1 Methodology.

14.2 Commonly encountered situations.

14.3 Examples.

15 Accounting for publication bias.

15.1 The downside of publishing.

15.2 Examples.

Part II The Theory.

16 Calibrating evidence in a test.

16.1 Evidence for one-sided alternatives.

16.2 Random p-value behavior.

16.3 Publication bias.

16.4 Comparison with a Bayesian calibration.

16.5 Summary.

17 The basics of variance stabilizing transformations.

17.1 Standardizing the sample mean.

17.2 Variance stabilizing transformations.

17.3 Poisson model example.

17.4 Two-sided evidence from one-sided evidence.

17.5 Summary.

18 One-sample binomial tests.

18.1 Variance stabilizing the risk estimator.

18.2 Confidence intervals for p.

18.3 Relative risk and odds ratio.

18.4 Confidence intervals for small risks p.

18.5 Summary.

19 Two-sample binomial tests.

19.1 Evidence for a positive effect.

19.2 Confidence intervals for effect sizes.

19.3 Estimating the risk difference.

19.4 Relative risk and odds ratio.

19.5 Recurrent urinary tract infections.

19.6 Summary.

20 Defining evidence in t-statistics.

20.1 Example.

20.2 Evidence in the Student t-statistic.

20.3 The Key Inferential Function for Students model.

20.4 Corrected evidence.

20.5 A confidence interval for the standardized effect.

20.6 Comparing evidence in t- and z-tests.

20.7 Summary.

21 Two-sample comparisons.

21.1 Drop in systolic blood pressure.

21.2 Defining the standardized effect.

21.3 Evidence in the Welch statistic.

21.4 Confidence intervals for d.

21.5 Summary.

22 Evidence in the chi-squared statistic.

22.1 The noncentral chi-squared distribution.

22.2 A vst for the noncentral chi-squared statistic.

22.3 Simulation studies.

22.4 Choosing the sample size.

22.5 Evidence for l> l0.

22.6 Summary.

23 Evidence in F-tests.

23.1 Variance stabilizing transformations for the noncentral F.

23.2 The evidence distribution.

23.3 The Key Inferential Function.

23.4 The random effects model.

23.5 Summary.

24 Evidence in Cochrans Q for heterogeneity of effects.

24.1 Cochrans Q: the fixed effects model.

24.2 Simulation studies.

24.3 Cochrans Q: the random effects model.

24.4 Summary.

25 Combining evidence from K studies.

25.1 Background and preliminary steps.

25.2 Fixed standardized effects.

25.3 Random transformed effects.

25.4 Example: drop in systolic blood pressure.

25.5 Summary.

26 Correcting for publication bias.

26.1 Publication bias.

26.2 The truncated normal distribution.

26.3 Bias correction based on censoring.

26.4 Summary.

27 Large-sample properties of variance stabilizing transformations.

27.1 Existence of the variance stabilizing transformation.

27.2 Tests and effect sizes.

27.3 Power and efficiency.

27.4 Summary.

References.

Index.

Informationen zu E-Books

Alle hier erworbenen E-Books können Sie in Ihrem Kundenkonto in die kostenlose PocketBook Cloud laden. Dadurch haben Sie den Vorteil, dass Sie von Ihrem PocketBook E-Reader, Ihrem Smartphone, Tablet und PC jederzeit auf Ihre gekauften und bereits vorhandenen E-Books Zugriff haben.

Um die PocketBook Cloud zu aktivieren, loggen Sie sich bitte in Ihrem Kundenkonto ein und gehen dort in den Bereich „Downloads“. Setzen Sie hier einen Haken bei „Neue E-Book-Käufe automatisch zu meiner Cloud hinzufügen.“. Dadurch wird ein PocketBook Cloud Konto für Sie angelegt. Die Zugangsdaten sind dabei dieselben wie in diesem Webshop.

Weitere Informationen zur PocketBook Cloud finden Sie unter www.meinpocketbook.de.

Allgemeine E-Book-Informationen

E-Books in diesem Webshop können in den Dateiformaten EPUB und PDF vorliegen und können ggf. mit einem Kopierschutz versehen sein. Sie finden die entsprechenden Informationen in der Detailansicht des jeweiligen Titels.

E-Books ohne Kopierschutz oder mit einem digitalen Wasserzeichen können Sie problemlos auf Ihr Gerät übertragen. Sie müssen lediglich die Kompatibilität mit Ihrem Gerät prüfen.

Um E-Books, die mit Adobe DRM geschützt sind, auf Ihr Lesegerät zu übertragen, benötigen Sie zusätzlich eine Adobe ID und die kostenlose Software Adobe® Digital Editions, wo Sie Ihre Adobe ID hinterlegen müssen. Beim Herunterladen eines mit Adobe DRM geschützten E-Books erhalten Sie zunächst eine .acsm-Datei, die Sie in Adobe® Digital Editions öffnen müssen. Durch diesen Prozess wird das E-Book mit Ihrer Adobe-ID verknüpft und in Adobe® Digital Editions geöffnet.