Meta Analysis Av Elena (Statistical Advisory Service) Kulinskaya, Stephan (Swiss Federal Institute Of Technology) Morgenthaler, Robert G. (La Trobe Un

<i>Meta Analysis: A Guide to Calibrating and Combining Statistical Evidence</i> 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.<br/><br/> The book is comprised of two parts ¿ <i>The Handbook</i>, and <i>The Theory</i>. <i>The Handbook</i> 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. <i>The Theory</i> provides the motivation, theory and results of simulation experiments to justify the methodology.<br/><br/> 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.