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Larousse Mi Primer Larousse
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Larousse Mi Primer Larousse
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Larousse Mi primer atlas Larousse
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Kitsune Books Arte de Comunicar, El
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Principal de Los Libros No Digas NADA
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Principal de Los Libros Las Chicas Robadas
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Difusion Centro de Publicacion y Publicaciones de Idiomas, S.L. Coleccion Mini Larousse: El universo
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Atico de Los Libros Guia Para Caminantes
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Atico de Los Libros Biblioteca de Hielo
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Almuzara Cancionero Popular. 100 Canciones Con Acordes
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Ediciones Martnez Roca El Gran Libro De Los Suenos
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Anagrama Diccionario del Franquismo
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Arco Libros - La Muralla, S.L. Manuscritos de inters bibliogrfico de la
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Taylor & Francis Routledge Handbook of European Welfare Systems
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Taylor & Francis Ltd Revisiting Museums of Influence
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Taylor & Francis Ltd The Dictionary of Multimedia 1999
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Taylor & Francis Ltd Handbook of MetaAnalysis
Book SynopsisMeta-analysis is the application of statistics to combine results from multiple studies and draw appropriate inferences. Its use and importance have exploded over the last 25 years as the need for a robust evidence base has become clear in many scientific areas, including medicine and health, social sciences, education, psychology, ecology, and economics.Recent years have seen an explosion of methods for handling complexities in meta-analysis, including explained and unexplained heterogeneity between studies, publication bias, and sparse data. At the same time, meta-analysis has been extended beyond simple two-group comparisons of continuous and binary outcomes to comparing and ranking the outcomes from multiple groups, to complex observational studies, to assessing heterogeneity of effects, and to survival and multivariate outcomes. Many of these methods are statistically complex and are tailored to specific types of data.Key featuresRigorous coverage of tTrade Review"Handbook of Meta-Analysis is a most laudable and detailed treatise on meta-analysis. It successfully covers – with gusto and substance – the full range of statistical methodology used in meta-analysis in a statistically rigorous and up-to-date manner, exuding a good balance of theory and applications (with real data and software syntax provided). It provides a comprehensive, coherent, and unified overview of the statistical foundations behind meta-analysis. Crafted by experts on the topic, each chapter is written with lucidity and surgical precision. It is elegantly organized, encyclopedic in breadth and depth, and fluent in exposition on the multidimensional role of meta-analysis: core material (background, systematic review process, data extraction, study-level results, frequent and Bayesian approaches); key extensions (meta-regression, individual data, multivariate meta-analysis, network meta-analysis, model checking, bias); and advances in particular fields of biomedical and social research (control risk regression, survival data, correlation matrices, genetic data, dose-response relationships, diagnostic tests, surrogate endpoints, complex observational data, prognostic models). It is a tour de force, a premier, and an indispensable reference that is highly recommended – and a must for serious researchers and practitioners engaged in meta-analysis. This state-of-the-science handbook is destined to be a classic."- Joseph C. Cappelleri, PhD, MPH, MS, Executive Director of Biostatistics, Pfizer Inc "For many researchers in social, medical, life and environmental sciences, it has become an essential part of their activities to synthesize evidence from the body of relevant research. The Handbook of Meta-analysis provides the most comprehensive and up-to-date coverage of the quantitative part of evidence synthesis, i.e., meta-analysis. Therefore, this handbook is a must-have for all researchers who wish to unlock and understand the power and potential of meta-analysis, but also for those who have already found and benefited from it. The authors of this edited volume are an interdisciplinary all-star team of statisticians and methodologists; probably, each of them could have written a textbook on meta-analysis. Here, they introduce both basics and advanced techniques that they have been leading to develop over their career. For many statisticians, a meta-analysis may be just one type of linear models (Chapters 1-11), yet, as this book demonstrates, meta-analyses can come in diverse forms and serve different purposes (see Chapters 14-22). Further, there are specific statistical issues meta-analysis needs to grapple with, such as publication bias (Chapters 12-13). The book ends with a chapter on how to use meta-analysis to plan our future work (Chapter 23) – what all scientists should be doing to reduce research waste and to accelerate scientific progress."- Shinichi Nakagawa, Professor of Evolutionary Biology and Synthesis, University of New South Wales, Sydney, Australia "This is an important book on an important subject, covering both theory and application, and it should be valuable to a wide range of readers in statistics and applied fields."- Andrew Gelman, Columbia University "...The Handbook of Meta-Analyses is a “must have” resource for: 1) statisticians, other professionals, and students conducting statistical research in meta-analysis; 2) practitioners conducting meta-analyses as part of systematic reviews or otherwise; and 3) educators and students who want to either start, or continue, to learn more about meta-analysis. The breadth and depth of up-to-date coverage of meta-analysis methods, wide range of areas of application, and examples, including online software code and data, is impressive. The contents are weighted towards frequentist strategies, but Bayesian strategies are highlighted in the core materials and revisited elsewhere. The Handbook is a pleasure to read. The editors and other co-authors guide the reader in a cohesive, unified fashion, from the foundational core material through increasingly sophisticated and wider ranging methods and applications. Their tone is conversational, with forwards-and-backwards sign-posting which integrates the contents in a tutorial-like fashion. Statistical notation is used with purpose, without excess, while maintaining statistical rigor in content. An abundance of graphs, figures, and tables reinforce the statistical concepts and methods, and visualize the examples. Both novice and more experienced readers will benefit...The Handbook of Meta-Analysis is a significant contribution which provides a palpable opportunity to improve future decision-making and policy setting."- Thomas Bradstreet, Appeared in the Journal of Biopharmaceutical Statistics "The handbook is intended for a relatively wide audience of statisticians, to be used as a textbook in a graduate course, as a reference book, a handbook or an introduction. The first part easily accomplishes these aims. There is a fair number of formulas, but they are well-explained and thus the text should be accessible for any statistician or quantitative researcher." -Anikó Lovik, International Society for Clinical Biostatistics, 72, 2021 Table of Contents1. Introduction to systematic review and meta-analysis2. General themes in meta-analysis3. Choice of effect measure and issues in extracting outcome data4. Analysis of univariate study-level summary data using normal models5. Exact likelihood methods for group-based summaries6. Bayesian methods for meta-analysis7. Meta-regression 8. Individual participant data meta-analysis9. Multivariate meta-analysis10. Network meta-analysis11. Model Checking in meta-analysis12. Handling internal and external biases: quality and relevance of studies13. Publication and outcome reporting bias14. Control risk regression15. Multivariate meta-analysis of survival proportions16. Meta-analysis of correlations, correlation matrices and their functions17. The meta-analysis of genetic studies18. Meta-analysis of dose-response relationships19. Meta-analysis of diagnostic tests20. Meta-analytic approach to evaluation of surrogate endpoints21. Meta-analysis of epidemiological data, with a focus on individual participant data22. Meta-analysis of prediction models23. Using meta-analysis to plan further research
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Taylor & Francis Ltd Childrens Museums as a New Informal Learning Environment in China
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Taylor & Francis Ltd SmallScale Map Projection Design
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Taylor & Francis Ltd Parliamentary Committees in a PartyCentred Context
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Taylor & Francis Ltd Revisiting the Past in Museums and at Historic Sites
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Taylor & Francis Ltd Routledge History of Philosophy Volume IV
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Taylor & Francis Ltd Routledge History of Philosophy Volume VII
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Taylor & Francis Ltd English Historical Documents Volume 4 13271485 13271485 Vol 4
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Taylor & Francis Ltd Encyclopedia of Japanese Business and Management
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Taylor & Francis Ltd Artificial Intelligence
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Taylor & Francis AugustineArg Philosophers
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Taylor & Francis Ltd BergsonArg Philosophers
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Taylor & Francis Ltd Hist West EducAncient World V 1 Orient and Mediterranean 2000 BCAD 1054 History of Western Education
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Taylor & Francis Ltd Hist West EducCivil Europe V2 Sixth to Sixteenth Century History of Western Education
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Taylor & Francis Ltd Hist West EducModern West V3 Europe and the New World History of Western Education
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Taylor & Francis Encyclopedia of TwentiethCentury Latin American and Caribbean Literature 19002003
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Taylor & Francis Literature Culture and Society
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Taylor & Francis Ltd Literature Culture and Society
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Taylor & Francis Ltd English Historical Documents 15581603
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Taylor & Francis Ltd Society
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Taylor & Francis Encyclopedia of New Religious Movements
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Taylor & Francis Routledge Handbook of Sports Development
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Taylor & Francis Routledge Handbook of Sports Development
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Taylor & Francis Marxs Ethics of Freedom
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Taylor & Francis Victorian Britain Routledge Revivals
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Taylor & Francis Victorian Britain Routledge Revivals
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Taylor & Francis Ltd International Higher Education Volume 1 An Encyclopedia Routledge Library Editions Education
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Taylor & Francis RLE Japan MiniSet D Politics POD 8 vols
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Taylor & Francis Ltd Urban Modelling
Book SynopsisThe study of cities is one of the grand challenges of twenty-first-century science, and mathematical modellingâin this case, urban modellingâprovides a crucial contribution to scholarly and practical projects fully to comprehend their workings, evolution, and associated planning problems. There have been significant developments in urban modelling over the last fifty years or so (though foundational work dates back to the nineteenth century and beyond), and it remains a highly active and flourishing field of research and study.Urban modelling draws on population demography and economics. It seeks to represent the activities and structures associated with employment, residential location, and housing, the use of services such as retail, education, or health and associated transport and telecommunications interactions. The history of urban modelling can be seen as the development of submodels which, in more ambitious projects, are then combined into comprehensive models. These models can then be deployed as âWhat if?â forecasting tools to test plans for future urban development. The retail model, for example, is extensively applied commercially.In five volumes, this new Routledge collectionâedited by the scholar whose work in urban and regional modelling established the research agenda for the field from the 1970s onwardsâanswers the need for an authoritative reference work to map the vast body of published literature and to make sense of the continuing explosion in research output. Much of scholarly literature generated by this multidisciplinary enterprise remains inaccessible or is highly specialized and compartmentalized, so that it is hard for many of those who are interested to obtain an informed and comprehensive overview. Bringing together the very best canonical and cutting-edge contributions, this collection offers an invaluable, one-stop resource.Volume I captures the early history of modelling up to the early 1960s. Volume II demonstrates the development of the comprehensive model, building on Lowryâs 1964 work and the foundations of transport modelling, enhanced by the introduction of entropy-maximizing methods in 1967. Volume III covers the 1970s and 1980s, which in part demonstrated the power of mathematical programming and also the introduction of effective dynamic analysis. The final volumes collect the best scholarship from the 1990s to the present day, focusing particularly on applications of modelling and the areas where the dynamic urban model still remains incomplete.Urban Modelling is fully indexed with a comprehensive introduction, newly written by the learned editor, which places the gathered materials in their historical and intellectual context. The collection is certain to be recognized as an indispensable reference work.
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Taylor & Francis Ltd Encyclopedia of Literature and Criticism
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