Description 
1 online resource (pages .) 
Contents 
Meta Analysis A Guide to Calibrating and Combining Statistical Evidence; Contents; Preface; Part I The Methods; 1 What can the reader expect from this book?; 2 Independent measurements with known precision; 3 Independent measurements with unknown precision; 4 Comparing treatment to control; 5 Comparing K treatments; 6 Evaluating risks; 7 Comparing risks; 8 Evaluating Poisson rates; 9 Comparing Poisson rates; 10 Goodnessoffit testing; 11 Evidence for heterogeneity of effects and transformed effects; 12 Combining evidence: fixed standardized effects model 

13 Combining evidence: random standardized effects model14 Metaregression; 15 Accounting for publication bias; Part II The Theory; 16 Calibrating evidence in a test; 17 The basics of variance stabilizing transformations; 18 Onesample binomial tests; 19 Twosample binomial tests; 20 Defining evidence in tstatistics; 21 Twosample comparisons; 22 Evidence in the chisquared statistic; 23 Evidence in Ftests; 24 Evidence in Cochran's Q for heterogeneity of e 
Summary 
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, and The 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 an 
Bibliography 
Includes bibliographical references and index 
Notes 
Print version record 
Subject 
Metaanalysis.


MetaAnalysis as Topic


MEDICAL  Biostatistics.


Metaanalysis

Form 
Electronic book

Author 
Morgenthaler, Stephan.


Staudte, Robert G.

ISBN 
9780470985533 

0470985534 

9780470985526 

0470985526 

1281319813 

9781281319814 
