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Network Meta-Analysis for Decision-Making
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.Often a single study will not provide the answers and it is desirable to synthesise evidence from multiple sources, usually randomised controlled trials.This book takes an approach to evidence synthesis that is specifically intended for decision making when there are two or more treatment alternatives being evaluated, and assumes that the purpose of every synthesis is to answer the question "for this pre-identified population of patients, which treatment is 'best'?" A comprehensive, coherent framework for network meta-analysis (mixed treatment comparisons) is adopted and estimated using Bayesian Markov Chain Monte Carlo methods implemented in the freely available software WinBUGS.Each chapter contains worked examples, exercises, solutions and code that may be adapted by readers to apply to their own analyses. This book can be used as an introduction to evidence synthesis and network meta-analysis, its key properties and policy implications.Examples and advanced methods are also presented for the more experienced reader. Methods used throughout this book can be applied consistently: model critique and checking for evidence consistency are emphasised. Methods are based on technical support documents produced for NICE Decision Support Unit, which support the NICE Methods of Technology Appraisal. Code presented is also the basis for the code used by the ISPOR Task Force on Indirect Comparisons. Includes extensive carefully worked examples, with thorough explanations of how to set out data for use in WinBUGS and how to interpret the output. Network Meta-Analysis for Decision Making will be of interest to decision makers, medical statisticians, health economists, and anyone involved in Health Technology Assessment including the pharmaceutical industry.
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Practicing Communication Ethics : Development, Discernment, and Decision Making
This textbook presents a theoretical framework for developing a personal standard of ethics that can be applied in everyday communication situations.This third edition focuses on how the reader’s communication matters ethically in co-creating their relationships, family, workgroups, and communities.Through an examination of ethical values including truth, justice, freedom, care, integrity, and honor, the reader can determine which values they are ethically committed to upholding.Blending communication theory, ethics as practical philosophy, and moral psychology, the text presents the practice of communication ethics as part of the lifelong process of personal development and fosters the ability in its readers to approach communication decision making through an ethical lens.This edition features new and expanded treatment of moral injury and trauma, digital communication, partisan political division, and issues related to the COVID-19 pandemic.Practicing Communication Ethics is a core textbook for communication ethics and media ethics courses.Online resources for instructors include an instructor’s manual, sample assignments, and PowerPoint slides.They are available at www.routledge.com/9781032288987.
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Business Analytics : Data Analysis & Decision Making
Master data analysis, modeling and spreadsheets with Albright/Winston's BUSINESS ANALYTICS: DATA ANALYSIS & DECISION MAKING, 8TH EDITION.This analytical approach delivers a proven teach-by-example approach, student-friendly writing and integration with Excel.The data-oriented new edition covers the two main Power BI tools in Excel, Power Query and Power Pivot, and includes sections on implementing these tools in Power BI Desktop.Current problems and cases demonstrate the importance of the concepts you are learning.MindTap, the online learning platform, provides a wealth of helpful study tools such as interactive eBook, Excel assignments and homework, videos and much more.
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Business Analytics : Data Analysis & Decision Making
Master data analysis, modeling and the effective use of spreadsheets with the popular BUSINESS ANALYTICS: DATA ANALYSIS AND DECISION MAKING, 7E.The quantitative methods approach in this edition helps you maximize your success with a proven teach-by-example presentation, inviting writing style and complete integration of the latest version of Excel.The approach is also compatible with earlier versions of Excel for your convenience.This edition is more data-oriented than ever before with a new chapter on the two main Power BI tools in Excel -- Power Query and Power Pivot -- and a new section of data visualization with Tableau Public.Current problems and cases demonstrate the importance of the concepts you are learning.In addition, a useful Companion Website provides data and solutions files, SolverTable for optimization sensitivity analysis and Palisade DecisionTools Suite.MindTap online resources are also available.
Price: 76.99 £ | Shipping*: 0.00 £
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Which do you prefer, Portal 1 or Portal 2?
As an AI language model, I don't have personal preferences, but I can provide information. Both Portal 1 and Portal 2 are highly acclaimed puzzle-platform games with unique gameplay mechanics and engaging storytelling. Portal 2 expands on the original game with new characters, mechanics, and a co-op mode, making it a favorite for many players. However, some fans appreciate the simplicity and originality of the first game. Ultimately, the preference between the two games comes down to individual tastes and what aspects of the games resonate most with each player.
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Portal RTX is a real-time ray tracing technology developed by NVIDIA. It is a feature that is available on NVIDIA's RTX series of graphics cards, allowing for more realistic lighting, reflections, and shadows in video games and other applications. This technology is not a physical location, but rather a software feature that can be utilized on compatible hardware.
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Data-Driven Decision-Making for Business
Research shows that companies that employ data-driven decision-making are more productive, have a higher market value, and deliver higher returns for their shareholders.In this book, the reader will discover the history, theory, and practice of data-driven decision-making, learning how organizations and individual managers alike can utilize its methods to avoid cognitive biases and improve confidence in their decisions.It argues that value does not come from data, but from acting on data. Throughout the book, the reader will examine how to convert data to value through data-driven decision-making, as well as how to create a strong foundation for such decision-making within organizations.Covering topics such as strategy, culture, analysis, and ethics, the text uses a collection of diverse and up-to-date case studies to convey insights which can be developed into future action.Simultaneously, the text works to bridge the gap between data specialists and businesspeople.Clear learning outcomes and chapter summaries ensure that key points are highlighted, enabling lecturers to easily align the text to their curriculums. Data-Driven Decision-Making for Business provides important reading for undergraduate and postgraduate students of business and data analytics programs, as well as wider MBA classes.Chapters can also be used on a standalone basis, turning the book into a key reference work for students graduating into practitioners.The book is supported by online resources, including PowerPoint slides for each chapter.
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Management Decision-Making, Big Data and Analytics
Accessible and concise, this exciting new textbook examines data analytics from a managerial and organizational perspective and looks at how they can help managers become more effective decision-makers. The book successfully combines theory with practical application, featuring case studies, examples and a ‘critical incidents’ feature that make these topics engaging and relevant for students of business and management. The book features chapters on cutting-edge topics, including: • Big data • Analytics • Managing emerging technologies and decision-making • Managing the ethics, security, privacy and legal aspects of data-driven decision-making The book is accompanied by an Instructor’s Manual, PowerPoint slides and access to journal articles. Suitable for management students studying business analytics and decision-making at undergraduate, postgraduate and MBA levels.
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Management Decision-Making, Big Data and Analytics
Accessible and concise, this exciting new textbook examines data analytics from a managerial and organizational perspective and looks at how they can help managers become more effective decision-makers. The book successfully combines theory with practical application, featuring case studies, examples and a ‘critical incidents’ feature that make these topics engaging and relevant for students of business and management. The book features chapters on cutting-edge topics, including: • Big data • Analytics • Managing emerging technologies and decision-making • Managing the ethics, security, privacy and legal aspects of data-driven decision-making The book is accompanied by an Instructor’s Manual, PowerPoint slides and access to journal articles. Suitable for management students studying business analytics and decision-making at undergraduate, postgraduate and MBA levels.
Price: 131.00 £ | Shipping*: 0.00 £ -
Behavioral AI : Unleash Decision Making with Data
Implement AI and big data at your organization using principles from behavioral economics In Behavioral AI: Unleash Decision Making with Data, behavioral economist Dr. Rogayeh Tabrizi delivers an intuitive roadmap to help organizations disentangle the complexity of their data to create tangible and lasting value.The book explains how to balance the multiple disciplines that power AI and behavioral economics using a combination of the right questions and insightful problem solving.You'll learn why intellectual diversity and combining subject matter experts in psychology, behavior, economics, physics, computer science, and engineering is essential to creating advanced AI solutions.You'll also discover: How behavioral economics principles influence data models and governance architectures and make digital transformation processes more efficient and effectiveDiscussions of the most important barriers to value in typical big data and AI projects and how to bring them downThe most effective methodology to help shorten the long, wasteful process of “boiling the ocean of data” An exciting and essential resource for managers, executives, board members, and other business leaders engaged or interested in harnessing the power of artificial intelligence and big data, Behavioral AI will also benefit data and machine learning professionals.
Price: 24.99 £ | Shipping*: 3.99 £
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A theater portal is a designated entrance or access point to a theater or performance venue. It is the main point of entry for audience members to enter the building and access the various areas of the theater, such as the lobby, auditorium, and restrooms. The portal may also serve as a gathering point for ticket holders before a performance, and it is typically staffed by ushers or attendants who assist with directing patrons to their seats and providing information about the venue. Additionally, the theater portal may be the location for ticket sales, will call, and other administrative functions related to attending a performance.
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