From Experimental Network to Meta-analysis, David Makowski; Fran?ois Piraux; Fran?ois Brun

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: 7685.00 р.
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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;

Автор: Kulinskaya, E Morgenthaler, Stephan Staudte, Rober
Название: Meta analysis
ISBN: 0470028645 ISBN-13(EAN): 9780470028643
Издательство: Wiley
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Цена: 10130.00 р.
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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.

Автор: Christopher H Schmid
Название: Handbook Of Meta-Analysis
ISBN: 1498703984 ISBN-13(EAN): 9781498703987
Издательство: Taylor&Francis
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Цена: 24499.00 р.
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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.

Автор: Khan, Shahjahan
Название: Meta-analysis
ISBN: 981155031X ISBN-13(EAN): 9789811550317
Издательство: Springer
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Цена: 6986.00 р.
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Описание:

Chapter 1. Introduction to meta-analysis.- Chapter 2. Ratio measures.- Chapter 3. One proportion.- Chapter 4. Risk difference (Two proportions).- Chapter 5. Weighted mean difference.- Chapter 6. Standardized mean difference.- Chapter 7. Correlation coefficient.- Chapter 8. Meta-regression.- Chapter 9. Network meta-analysis.- Chapter 10. Publication bias.

Автор: Terri Pigott
Название: Advances in Meta-Analysis
ISBN: 1489993657 ISBN-13(EAN): 9781489993656
Издательство: Springer
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Цена: 10760.00 р.
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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.

Автор: Arthur, Jr.
Название: Conducting Meta-Analysis Using SAS
ISBN: 0805838090 ISBN-13(EAN): 9780805838091
Издательство: Taylor&Francis
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Цена: 6123.00 р.
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Описание: Designed to teach the reader about meta-analysis and show them how to conduct one using SAS. Its focus is more applied and practical than theoretical and will include additional programming codes and examples. Web site to house program code and sample ou

Автор: Dias
Название: Network Meta-Analysis for Decision Making
ISBN: 1118647505 ISBN-13(EAN): 9781118647509
Издательство: Wiley
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Цена: 9496.00 р.
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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.

Автор: Giuseppe Biondi-Zoccai
Название: Diagnostic Meta-Analysis
ISBN: 3030076911 ISBN-13(EAN): 9783030076917
Издательство: Springer
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Цена: 20962.00 р.
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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.

Автор: Ding-Geng (Din) Chen, Karl E. Peace
Название: Applied Meta-Analysis with R and Stata
ISBN: 0367183838 ISBN-13(EAN): 9780367183837
Издательство: Taylor&Francis
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Цена: 19906.00 р.
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Описание: In biostatistical research and courses, practitioners and students often lack a thorough understanding of how to apply statistical methods to synthesize biomedical and clinical trial data. Filling this knowledge gap, this book shows how to implement statistical meta-analysis methods to real data using R and Stata.

Автор: Koricheva Julia
Название: Handbook of Meta-Analysis in Ecology and Evolution
ISBN: 0691137293 ISBN-13(EAN): 9780691137292
Издательство: Wiley
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Цена: 11880.00 р.
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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 "--