Elena Kulinskaya & Stephan Morgenthaler 
Meta Analysis [PDF ebook] 
A Guide to Calibrating and Combining Statistical Evidence

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 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.

A propos de l’auteur

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.