Meta Analysis: A Guide to Calibrating and Combining Statistical Evidence (Wiley Series in Probability and Statistics) (in English) - Elena Kulinskaya; Stephan Morgenthaler; Robert G. Staudte
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Meta Analysis: A Guide to Calibrating and Combining Statistical Evidence (Wiley Series in Probability and Statistics) (in English)
Elena Kulinskaya; Stephan Morgenthaler; Robert G. Staudte
Synopsis "Meta Analysis: A Guide to Calibrating and Combining Statistical Evidence (Wiley Series in Probability and Statistics) (in English)"
Meta Analysis: A Guide to Calibrating and Combining StatisticalEvidence acts as a source of basic methods for scientistswanting to combine evidence from different experiments. The authorsaim to promote a deeper understanding of the notion of statisticalevidence.The book is comprised of two parts – The Handbook, andThe Theory. The Handbook is a guide for combining andinterpreting experimental evidence to solve standard statisticalproblems. This section allows someone with a rudimentary knowledgein general statistics to apply the methods. The Theoryprovides the motivation, theory and results of simulationexperiments to justify the methodology.This is a coherent introduction to the statistical conceptsrequired to understand the authors’ thesis that evidence in atest statistic can often be calibrated when transformed to theright scale.