Meta Analysis
A Guide to Calibrating and Combining Statistical Evidence
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Beschreibung
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.
Autor*in
Elena Kulinskaya
Themen in »Meta Analysis«
Analytische Chemie / Forensik Angewandte Wahrscheinlichkeitsrechnung u. Statistik Applied Probability & Statistics Biostatistics Biostatistik Chemie Chemistry Experimental Design Forensics Statistics Statistik Versuchsplanung
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"A book that offers an alternative, widely applicable, rigorouslyjustified theory of meta-analysis." (Evidence BasedMedicine, April 2009)
"The book is well written and includes many examples. The bookprovides an interesting angle on statistical inference byintroducing the concept of 'evidence'. I enjoyed thisconcept very much." (Statistics in Medicine, May 2009)
"I found the book well written, reasonably complete, and easy toread ... .I recommend this book for both the new andexperienced meta-analysts." (Journal of BiopharmaceuticalStatistics, March 2009)
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