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Book Synopsis Methods of Meta-Analysis by : John E Hunter
Download or read book Methods of Meta-Analysis written by John E Hunter and published by SAGE. This book was released on 2004-04-07 with total page 620 pages. Available in PDF, EPUB and Kindle. Book excerpt: Covering the most important developments in meta-analysis from 1990 to 2004, this text presents new patterns in research findings as well as updated information on existing topics.
Download or read book Meta Tags written by Samuel Blankson and published by Lulu.com. This book was released on 2007 with total page 91 pages. Available in PDF, EPUB and Kindle. Book excerpt: Buying a Web site is only the start of finding success on the Internet. Being found by Web users on Google, Yahoo!, MSN, AltaVista, AOL, Alltheweb, Fast, GigaBlast, Netscape, Snap, WISEnut, and thousands of other search engines is the next major hurdle. This edition describes how to optimize Web sites titles, headings, Meta Tags, and more to maximize the effectiveness of how search engines view and rank the Web sites relevance to keyword searches. (Computer Books - Internet)
Book Synopsis Publication Bias in Meta-Analysis by : Hannah R. Rothstein
Download or read book Publication Bias in Meta-Analysis written by Hannah R. Rothstein and published by John Wiley & Sons. This book was released on 2006-02-03 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: Publication bias is the tendency to decide to publish a study based on the results of the study, rather than on the basis of its theoretical or methodological quality. It can arise from selective publication of favorable results, or of statistically significant results. This threatens the validity of conclusions drawn from reviews of published scientific research. Meta-analysis is now used in numerous scientific disciplines, summarizing quantitative evidence from multiple studies. If the literature being synthesised has been affected by publication bias, this in turn biases the meta-analytic results, potentially producing overstated conclusions. Publication Bias in Meta-Analysis examines the different types of publication bias, and presents the methods for estimating and reducing publication bias, or eliminating it altogether. Written by leading experts, adopting a practical and multidisciplinary approach. Provides comprehensive coverage of the topic including: Different types of publication bias, Mechanisms that may induce them, Empirical evidence for their existence, Statistical methods to address them, Ways in which they can be avoided. Features worked examples and common data sets throughout. Explains and compares all available software used for analysing and reducing publication bias. Accompanied by a website featuring software, data sets and further material. Publication Bias in Meta-Analysis adopts an inter-disciplinary approach and will make an excellent reference volume for any researchers and graduate students who conduct systematic reviews or meta-analyses. University and medical libraries, as well as pharmaceutical companies and government regulatory agencies, will also find this invaluable.
Book Synopsis Meta-level Inference Systems by : Frank Van Harmelen
Download or read book Meta-level Inference Systems written by Frank Van Harmelen and published by Morgan Kaufmann. This book was released on 1991 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Logic Program Synthesis and Transformation - Meta-Programming in Logic by : Laurent Fribourg
Download or read book Logic Program Synthesis and Transformation - Meta-Programming in Logic written by Laurent Fribourg and published by Springer Science & Business Media. This book was released on 1994-11-30 with total page 468 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes the combined proceedings of the 4th International Workshops on Logic Program Synthesis and Transformation (LOPSTR '94) and on Meta-Programming (META '94), held jointly in Pisa, Italy in June 1994. This book includes thoroughly revised versions of the best papers presented at both workshops. The main topics addressed by the META papers are language extensions in support of meta-logic, semantics of meta-logic, implementation of meta-logic features, performance of meta-logic, and several applicational aspects. The LOPSTR papers are devoted to unfolding/folding, partial deduction, proofs as programs, inductive logic programming, automated program verification, specification and programming methodologies.
Book Synopsis Advanced BASIC Meta-analysis by : Brian Mullen
Download or read book Advanced BASIC Meta-analysis written by Brian Mullen and published by Psychology Press. This book was released on 1989 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: First Published in 1989. Routledge is an imprint of Taylor & Francis, an informa company.
Author :Umweltforschungszentrum Leipzig-Halle Publisher :Springer Science & Business Media ISBN 13 :9783540441823 Total Pages :214 pages Book Rating :4.4/5 (418 download)
Book Synopsis Meta-X- by : Umweltforschungszentrum Leipzig-Halle
Download or read book Meta-X- written by Umweltforschungszentrum Leipzig-Halle and published by Springer Science & Business Media. This book was released on 2003 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt: "META-X is a user-friendly computer program that allows students, teachers, and researchers to perform a metapopulation viability analysis i.e. to assess the extinction risk of (meta) populations on discrete, partially isolated patches of habitat, in a comfortable way. The CD comes with an extensive handbook which explains the basic concept of the program and takes you on a guided tour through a model experiment. It further provides the necessary scientific background on both metapopulation dynamics and population viability analysis." "A special feature of META-X is that it supports comparative analyses of alternative scenarios. This predestines META-X to serve as an aid for decision making in conservation management and landscape planning. Furthermore, handbook and software together provide an invaluable help in research and teaching."--BOOK JACKET.Title Summary field provided by Blackwell North America, Inc. All Rights Reserved
Book Synopsis Meta-analysis of Drug Abuse Prevention Programs by : William J. Bukoski
Download or read book Meta-analysis of Drug Abuse Prevention Programs written by William J. Bukoski and published by DIANE Publishing. This book was released on 1997 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: Illustrates the value of combining findings from specific high-quality primary research studies into a cohesive summary that better defines what the science of drug abuse prevention offers to guide future program decisionmaking. Presents a current overview of the efficacy of drug abuse prevention programs (DAPG) and related measurement systems. Defines the techniques employed in meta-analysis of DAPG. Provides guidance in the application of research findings from meta-analysis. Discusses key technical procedures that should be considered in conducting future meta-analysis of drug abuse prevention research.
Book Synopsis Meta-Analytic Procedures for Social Research by : Robert Rosenthal
Download or read book Meta-Analytic Procedures for Social Research written by Robert Rosenthal and published by SAGE. This book was released on 1991-05 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: Praised in the first edition for the clarity of his general framework for conceptualizing meta-analysis, Rosenthal's revised edition covers the latest techniques in the field, such as a new effect size indicator for one size data, a new coefficient of robustness of replication, new procedures for combining and comparing effect sizes for multiple dependent variables, and new data on the magnitude of the problem of incomplete retrieval (the file drawer problem).
Book Synopsis Meta-Analysis of Controlled Clinical Trials by : Anne Whitehead
Download or read book Meta-Analysis of Controlled Clinical Trials written by Anne Whitehead and published by John Wiley & Sons. This book was released on 2002-08-16 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the last twenty years there has been a dramatic upsurge in the application of meta-analysis to medical research. This has mainly been due to greater emphasis on evidence-based medicine and the need for reliable summaries of the vast and expanding volume of clinical research. At the same time there have been great strides in the development and refinement of the associated statistical methodology. This book describes the planning, conduct and reporting of a meta-analysis as applied to a series of randomized controlled clinical trials. The various approaches are presented within a general unified framework. Meta-analysis techniques are described in detail, from their theoretical development through to practical implementation. Each topic discussed is supported by detailed worked examples. A comparison of fixed and random effects approaches is included, as well as a discussion of Bayesian methods and cumulative meta-analysis. Fully documented programs using standard statistical procedures in SAS are available on the Web. Ideally suited for practising statisticians and statistically-minded medical professionals, the book will also be of use to graduate students of medical statistics. The book is a self-contained and comprehensive account of the subject and an essential purchase for anyone involved in clinical trials.
Download or read book Meta-Learning written by Lan Zou and published by Elsevier. This book was released on 2022-11-05 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep neural networks (DNNs) with their dense and complex algorithms provide real possibilities for Artificial General Intelligence (AGI). Meta-learning with DNNs brings AGI much closer: artificial agents solving intelligent tasks that human beings can achieve, even transcending what they can achieve. Meta-Learning: Theory, Algorithms and Applications shows how meta-learning in combination with DNNs advances towards AGI. Meta-Learning: Theory, Algorithms and Applications explains the fundamentals of meta-learning by providing answers to these questions: What is meta-learning?; why do we need meta-learning?; how are self-improved meta-learning mechanisms heading for AGI ?; how can we use meta-learning in our approach to specific scenarios? The book presents the background of seven mainstream paradigms: meta-learning, few-shot learning, deep learning, transfer learning, machine learning, probabilistic modeling, and Bayesian inference. It then explains important state-of-the-art mechanisms and their variants for meta-learning, including memory-augmented neural networks, meta-networks, convolutional Siamese neural networks, matching networks, prototypical networks, relation networks, LSTM meta-learning, model-agnostic meta-learning, and the Reptile algorithm. The book takes a deep dive into nearly 200 state-of-the-art meta-learning algorithms from top tier conferences (e.g. NeurIPS, ICML, CVPR, ACL, ICLR, KDD). It systematically investigates 39 categories of tasks from 11 real-world application fields: Computer Vision, Natural Language Processing, Meta-Reinforcement Learning, Healthcare, Finance and Economy, Construction Materials, Graphic Neural Networks, Program Synthesis, Smart City, Recommended Systems, and Climate Science. Each application field concludes by looking at future trends or by giving a summary of available resources. Meta-Learning: Theory, Algorithms and Applications is a great resource to understand the principles of meta-learning and to learn state-of-the-art meta-learning algorithms, giving the student, researcher and industry professional the ability to apply meta-learning for various novel applications. A comprehensive overview of state-of-the-art meta-learning techniques and methods associated with deep neural networks together with a broad range of application areas Coverage of nearly 200 state-of-the-art meta-learning algorithms, which are promoted by premier global AI conferences and journals, and 300 to 450 pieces of key research Systematic and detailed exploration of the most crucial state-of-the-art meta-learning algorithm mechanisms: model-based, metric-based, and optimization-based Provides solutions to the limitations of using deep learning and/or machine learning methods, particularly with small sample sizes and unlabeled data Gives an understanding of how meta-learning acts as a stepping stone to Artificial General Intelligence in 39 categories of tasks from 11 real-world application fields
Book Synopsis Modern Meta-Analysis by : Ton J. Cleophas
Download or read book Modern Meta-Analysis written by Ton J. Cleophas and published by Springer. This book was released on 2017-05-02 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modern meta-analyses do more than combine the effect sizes of a series of similar studies. Meta-analyses are currently increasingly applied for any analysis beyond the primary analysis of studies, and for the analysis of big data. This 26-chapter book was written for nonmathematical professionals of medical and health care, in the first place, but, in addition, for anyone involved in any field involving scientific research. The authors have published over twenty innovative meta-analyses from the turn of the century till now. This edition will review the current state of the art, and will use for that purpose the methodological aspects of the authors' own publications, in addition to other relevant methodological issues from the literature. Are there alternative works in the field? Yes, there are, particularly in the field of psychology. Psychologists have invented meta-analyses in 1970, and have continuously updated methodologies. Although very interesting, their work, just like the whole discipline of psychology, is rather explorative in nature, and so is their focus to meta-analysis. Then, there is the field of epidemiologists. Many of them are from the school of angry young men, who publish shocking news all the time, and JAMA and other publishers are happy to publish it. The reality is, of course, that things are usually not as bad as they seem. Finally, some textbooks, written by professional statisticians, tend to use software programs with miserable menu programs and requiring lots of syntax to be learnt. This is prohibitive to clinical and other health professionals. The current edition is the first textbook in the field of meta-analysis entirely written by two clinical scientists, and it consists of many data examples and step by step analyses, mostly from the authors' own clinical research.
Book Synopsis Meta-Analysis by : Mike W.-L. Cheung
Download or read book Meta-Analysis written by Mike W.-L. Cheung and published by John Wiley & Sons. This book was released on 2015-04-07 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents a novel approach to conducting meta-analysis using structural equation modeling. Structural equation modeling (SEM) and meta-analysis are two powerful statistical methods in the educational, social, behavioral, and medical sciences. They are often treated as two unrelated topics in the literature. This book presents a unified framework on analyzing meta-analytic data within the SEM framework, and illustrates how to conduct meta-analysis using the metaSEM package in the R statistical environment. Meta-Analysis: A Structural Equation Modeling Approach begins by introducing the importance of SEM and meta-analysis in answering research questions. Key ideas in meta-analysis and SEM are briefly reviewed, and various meta-analytic models are then introduced and linked to the SEM framework. Fixed-, random-, and mixed-effects models in univariate and multivariate meta-analyses, three-level meta-analysis, and meta-analytic structural equation modeling, are introduced. Advanced topics, such as using restricted maximum likelihood estimation method and handling missing covariates, are also covered. Readers will learn a single framework to apply both meta-analysis and SEM. Examples in R and in Mplus are included. This book will be a valuable resource for statistical and academic researchers and graduate students carrying out meta-analyses, and will also be useful to researchers and statisticians using SEM in biostatistics. Basic knowledge of either SEM or meta-analysis will be helpful in understanding the materials in this book.
Book Synopsis Introduction to Meta Platforms by : Gilad James, PhD
Download or read book Introduction to Meta Platforms written by Gilad James, PhD and published by Gilad James Mystery School. This book was released on with total page 69 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Meta-regression Analysis in Economics and Business by : T. D. Stanley
Download or read book Meta-regression Analysis in Economics and Business written by T. D. Stanley and published by Routledge. This book was released on 2012 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: Meta-Regression Analysis in Economics and Business is the first text devoted to the meta-regression analysis (MRA) of economics and business research.
Book Synopsis Methods of Meta-Analysis by : Frank L. Schmidt
Download or read book Methods of Meta-Analysis written by Frank L. Schmidt and published by SAGE Publications. This book was released on 2014-02-05 with total page 673 pages. Available in PDF, EPUB and Kindle. Book excerpt: Designed to provide researchers clear and informative insight into techniques of meta-analysis, the Third Edition of Methods of Meta-Analysis: Correcting Error and Bias in Research Findings is the most comprehensive text on meta-analysis available today. It is the only book that presents a full and usable treatment of the role of study artifacts in distorting study results, as well as methods for correcting results for such biases and errors. Meta-analysis is arguably the most important methodological innovation in the last thirty-five years, due to its immense impact on the development of cumulative knowledge and professional practice. This text, now in its updated Third Edition, has been revised to cover the newest developments in meta-analysis methods, evaluation, correction, and more. This reader-friendly book is the definitive resource on meta-analysis. “This text is the primary source text for psychometric meta-analysis methods.” —Emily E. Tanner-Smith, Vanderbilt University “The key strength of the book is the complete and thorough coverage of psychometric meta-analysis. This technique is not covered in any other meta-analysis text, and is a major contribution to the literature…The meta-analysis field needs to find ways to integrate Hunter and Schmidt’s methods into current meta-analysis practice.” —Terri D. Pigott, Loyola University of Chicago “This is an important text. It is the only book that presents adequate coverage of psychometric meta-analysis. In addition to its use as a textbook, it is an invaluable resource for anyone involved in meta-analytic studies.” —Steven Pulos, University of Northern Colorado
Download or read book Meta-analysis written by Catherine Selden and published by . This book was released on 1992 with total page 32 pages. Available in PDF, EPUB and Kindle. Book excerpt:
