Автор: Tom M. Palmer and Jonathan A. C. Sterne (editors) Название: Meta-Analysis in Stata ISBN: 1597181471 ISBN-13(EAN): 9781597181471 Издательство: Taylor&Francis Рейтинг: Цена: 77570.00 T Наличие на складе: Невозможна поставка. Описание: Meta-analysis allows researchers to combine the results of several studies into a unified analysis that provides an overall estimate of the effect of interest. This collection of articles from the Stata Journal and Stata Technical Bulletin will be indispensable to researchers who wish to conduct meta-analyses using Stata and learn about the full range of user-written Stata meta-analysis commands. With these articles and the associated Stata software, you gain access to the statistical methods behind the rapid increase in the number of meta-analyses reported in the social and medical literature. Collectively, the articles provide a detailed description of a range of meta-analytic methods. They show how to conduct and interpret meta-analyses; how to produce highly flexible graphical displays; how to use meta-regression; how to examine bias; how to conduct individual participant data meta-analysis; and how to conduct multivariate meta-analysis. This edition also contains three articles on network metaanalysis, a major recent development in meta-analysis methodology.
Автор: Hanji Название: Meta-Analysis In Psychiatry Researc ISBN: 1771883766 ISBN-13(EAN): 9781771883764 Издательство: Taylor&Francis Рейтинг: Цена: 101050.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book introduces the latest meta-analytical methods and discusses their applications in the field of psychiatry. A comprehensive list of methods used in meta-analysis has been described in simple language and demonstrated with real-time examples.
Автор: Kulinskaya, E Morgenthaler, Stephan Staudte, Rober Название: Meta analysis ISBN: 0470028645 ISBN-13(EAN): 9780470028643 Издательство: Wiley Рейтинг: Цена: 67530.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: 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.
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