|The Handbook of Research Synthesis and Meta-Analysis|
by Harris Cooper (Editor), Larry V. Hedges (Editor), Jeffrey C. Valentine (Editor)
Praise for the first edition:
“The Handbook is a comprehensive treatment of literature synthesis and provides practical advice for anyone deep in the throes of, just teetering on the brink of, or attempting to decipher a meta-analysis. Given the expanding application and importance of literature synthesis, understanding both its strengths and weaknesses is essential for its practitioners and consumers. This volume is a good beginning for those who wish to gain...
|Introduction to Meta-Analysis|
by Michael Borenstein (Author), Larry V. Hedges (Author), Julian P. T. Higgins (Author), Hannah R. Rothstein (Author)
This book provides a clear and thorough introduction to meta-analysis, the process of synthesizing data from a series of separate studies. Meta-analysis has become a critically important tool in fields as diverse as medicine, pharmacology, epidemiology, education, psychology, business, and ecology. Introduction to Meta-Analysis: Outlines the role of meta-analysis in the research process Shows how to compute effects sizes and treatment effects Explains the fixed-effect and random-effects...
|Systematic Reviews in Health Care: Meta-Analysis in Context|
by Matthias Egger (Editor), George Davey-Smith (Editor), Douglas Altman (Editor)
The second edition of this best-selling book has been thoroughly revised and expanded to reflect the significant changes and advances made in systematic reviewing. New features include discussion on the rationale, meta-analyses of prognostic and diagnostic studies and software, and the use of systematic reviews in practice.
|The BUGS Book: A Practical Introduction to Bayesian Analysis (Chapman & Hall/CRC Texts in Statistical Science)|
by David Lunn (Author), Chris Jackson (Author), Nicky Best (Author), Andrew Thomas (Author), David Spiegelhalter (Author)
Bayesian statistical methods have become widely used for data analysis and modelling in recent years, and the BUGS software has become the most popular software for Bayesian analysis worldwide. Authored by the team that originally developed this software, The BUGS Book provides a practical introduction to this program and its use. The text presents complete coverage of all the functionalities of BUGS, including prediction, missing data, model criticism, and prior...