9780470028643 - meta analysis: a guide to calibrating and combining statistical evidence (wiley series in probability and statistics) von kulinskaya, elena (4 Ergebnisse)
Meta Analysis : A Guide to Calibrating and Combining Statistical Evidence
Morgenthaler, Stephan, Staudte, Robert G., Kulinskaya, Elena
- Softcover
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Zustand: Very Good. Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
Meta Analysis A Guide to Calibrating and Combining Statistical Evidence
Kulinskaya, Elena/ Morgenthaler, Stephan/ Staudte, Robert G.
- Softcover
Anbieter: Revaluation Books, Exeter, Vereinigtes KönigreichRevaluation Books
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EUR 122,38
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Paperback. Zustand: Brand New. 1st edition. 260 pages. 9.00x6.00x0.75 inches. In Stock.
- Softcover
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EUR 94,83
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Kartoniert / Broschiert. Zustand: New.
- Softcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
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EUR 131,00
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Taschenbuch. Zustand: Neu. Neuware - Studies based on small sample sizes often suffer from low power in detecting effects of interest, but this can be overcome by a meta analysis: the combination and analysis of results from a number of studies. This procedure allows for a more accurate estimation of effects, while taking into a…ccount differences between study conditions.In Meta Analysis the results from different studies are transformed to a common calibration scale, where it is simpler to combine and interpret them. This unique approach, developed by the authors, is applicable to many study designs and conditions, and also leads to a deeper understanding of statistical evidence. The book is presented in two parts: Part 1 illustrates the methods required to combine and interpret statistical evidence, while Part 2 provides the motivation, theory and simulation experiments which justify the methods.The book:\* Provides a user-friendly guide for readers wishing to combine evidence from different statistical experiments.\* Examines methods of continuous and discrete measurement, and regression, before presenting alternative methods for combining evidence.\* Contains many worked examples throughout.\* Is supported by a website containing examples with software instructions for the R environment.Meta Analysis is ideally suited for statistical consultants and researchers in the fields of medicine, the social sciences and forensic statistics. Medical professionals undertaking basic training in statistics will also find this guide invaluable, as will practitioners of statistics interested in evidentiary statistics and related topics.
