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Diagnostic Meta-Analysis, Giuseppe Biondi-Zoccai


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Автор: Giuseppe Biondi-Zoccai
Название:  Diagnostic Meta-Analysis
ISBN: 9783030076917
Издательство: Springer
Классификация:





ISBN-10: 3030076911
Обложка/Формат: Soft cover
Страницы: 319
Вес: 0.70 кг.
Дата издания: 2018
Язык: English
Издание: Softcover reprint of
Иллюстрации: 15 tables, color; 15 illustrations, color; 30 illustrations, black and white; xvii, 319 p. 45 illus., 15 illus. in color.
Размер: Book (Paperback Initiative)
Читательская аудитория: Professional & vocational
Основная тема: Epidemiology
Подзаголовок: A Useful Tool for Clinical Decision-Making
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book is the first exclusively devoted to the systematic synthesis of diagnostic test accuracy studies. It builds upon the major recent developments in reporting standards, search methods, and, in particular, statistical tools specifically devoted to diagnostic studies. In addition, it borrows extensively from the latest advances in systematic reviews and meta-analyses of intervention studies. After a section dedicated to methods for designing reviews, synthesizing evidence and appraising inconsistency in research, the application of these approaches is demonstrated in the context of case studies from various clinical disciplines. Diagnosis is central in medical decision-making, and in many other fields of human endeavor, such as education and psychology. The plurality of sources of evidence on diagnostic test accuracy poses a huge challenge for practitioners and researchers, as do the multiple dimensions of evidence validity, which include sensitivity, specificity, predictive values, and likelihood ratios. This book offers an invaluable resource for anyone aiming to improve decision-making processes in diagnosis, classification or risk prognostication, from epidemiologists to biostatisticians, radiologists, laboratory physicians and graduate students, as any physician interested in refining his methodological skills in clinical diagnosis.
Дополнительное описание: SECTION I.- 1. Introduction to Clinical Diagnosis.- 2. The Evidence Hierarchy.- 3. Peculiarities of Diagnostic Test Accuracy Studies.- 4. Meta-analyses of Clinical Trials vs Diagnostic Test Accuracy Studies.- SECTION II.- 5. Designing the Review.- 6. Re


Meta-analysis with r

Автор: Schwarzer, Guido Carpenter, James R. Rucker, Gerta
Название: Meta-analysis with r
ISBN: 3319214152 ISBN-13(EAN): 9783319214153
Издательство: Springer
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Цена: 51230.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a comprehensive introduction to performing meta-analysis using the statistical software R. It is intended for quantitative researchers and students in the medical and social sciences who wish to learn how to perform meta-analysis with R. multivariate meta-analysis, network meta-analysis;

Meta-Analysis in Stata

Автор: Tom M. Palmer and Jonathan A. C. Sterne (editors)
Название: Meta-Analysis in Stata
ISBN: 1597181471 ISBN-13(EAN): 9781597181471
Издательство: Taylor&Francis
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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.

Meta-analysis and Combining Information in Genetics and Genomics

Автор: Guerra
Название: Meta-analysis and Combining Information in Genetics and Genomics
ISBN: 1138116114 ISBN-13(EAN): 9781138116115
Издательство: Taylor&Francis
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Цена: 76550.00 T
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Описание:

Novel Techniques for Analyzing and Combining Data from Modern Biological Studies
Broadens the Traditional Definition of Meta-Analysis

With the diversity of data and meta-data now available, there is increased interest in analyzing multiple studies beyond statistical approaches of formal meta-analysis. Covering an extensive range of quantitative information combination methods, Meta-analysis and Combining Information in Genetics and Genomics looks at how to analyze multiple studies from a broad perspective.

After presenting the basic ideas and tools of meta-analysis, the book addresses the combination of similar data types: genotype data from genome-wide linkage scans and data derived from microarray gene expression experiments. The expert contributors show how some data combination problems can arise even within the same basic framework and offer solutions to these problems. They also discuss the combined analysis of different data types, giving readers an opportunity to see data combination approaches in action across a wide variety of genome-scale investigations.

As heterogeneous data sets become more common, biological understanding will be significantly aided by jointly analyzing such data using fundamentally sound statistical methodology. This book provides many novel techniques for analyzing data from modern biological studies that involve multiple data sets, either of the same type or multiple data sources.


Handbook Of Meta-Analysis

Автор: Christopher H Schmid
Название: Handbook Of Meta-Analysis
ISBN: 1498703984 ISBN-13(EAN): 9781498703987
Издательство: Taylor&Francis
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Цена: 163330.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Meta-analysis is the application of statistics to combine results from multiple studies and draw appropriate inferences. Its use and importance have exploded over the years as the need for a robust evidence base has become clear in many scientific areas like medicine and health, social sciences, education, psychology, ecology and economics.

Advances in Meta-Analysis

Автор: Terri Pigott
Название: Advances in Meta-Analysis
ISBN: 1489993657 ISBN-13(EAN): 9781489993656
Издательство: Springer
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Цена: 71730.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book describes multivariate analyses for several indices commonly used in meta-analysis, outlines how to do power analysis for meta-analysis, and examines issues around research quality and research design and their roles in synthesis.

Meta-Analysis in Medicine and Health Policy

Название: Meta-Analysis in Medicine and Health Policy
ISBN: 0367398737 ISBN-13(EAN): 9780367398736
Издательство: Taylor&Francis
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Цена: 67360.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This remarkable text raises the analysis of data in health sciences and policy to new heights of refinement and applicability by introducing cutting-edge meta-analysis strategies while reviewing more commonly used techniques.

Introduction to Probability, Second Edition

Автор: Joseph K. Blitzstein, Jessica Hwang
Название: Introduction to Probability, Second Edition
ISBN: 1138369918 ISBN-13(EAN): 9781138369917
Издательство: Taylor&Francis
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Цена: 74510.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Assumes one-semester of calculus. "Stories" make distributions (Normal, Binomial, Poisson that are widely-used in statistics) easier to remember, understand. Many books write down formulas without explaining clearly why these particular distributions are important or how they are all connected.

Network Meta-Analysis for Decision Making

Автор: Dias
Название: Network Meta-Analysis for Decision Making
ISBN: 1118647505 ISBN-13(EAN): 9781118647509
Издательство: Wiley
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Цена: 63310.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A practical guide to network meta-analysis with examples and code In the evaluation of healthcare, rigorous methods of quantitative assessment are necessary to establish which interventions are effective and cost-effective.

Handbook of Meta-Analysis in Ecology and Evolution

Автор: Koricheva Julia
Название: Handbook of Meta-Analysis in Ecology and Evolution
ISBN: 0691137293 ISBN-13(EAN): 9780691137292
Издательство: Wiley
Рейтинг:
Цена: 79200.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: "Meta-analysis is a powerful statistical methodology for synthesizing research evidence across independent studies. This is the first comprehensive handbook of meta-analysis written specifically for ecologists and evolutionary biologists, and it provides an invaluable introduction for beginners as well as an up-to-date guide for experienced meta-analysts. The chapters, written by renowned experts, walk readers through every step of meta-analysis, from problem formulation to the presentation of the results. The handbook identifies both the advantages of using meta-analysis for research synthesis and the potential pitfalls and limitations of meta-analysis (including when it should not be used). Different approaches to carrying out a meta-analysis are described, and include moment and least-square, maximum likelihood, and Bayesian approaches, all illustrated using worked examples based on real biological datasets. This one-of-a-kind resource is uniquely tailored to the biological sciences, and will provide an invaluable text for practitioners from graduate students and senior scientists to policymakers in conservation and environmental management. Walks you through every step of carrying out a meta-analysis in ecology and evolutionary biology, from problem formulation to result presentation Brings together experts from a broad range of fields Shows how to avoid, minimize, or resolve pitfalls such as missing data, publication bias, varying data quality, nonindependence of observations, and phylogenetic dependencies among species Helps you choose the right software Draws on numerous examples based on real biological datasets "--


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