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Evidence-based Decisions and Economics

Evidence-based Decisions and Economics
Author: Ian Shemilt
Publisher: John Wiley & Sons
Total Pages: 216
Release: 2011-09-22
Genre: Medical
ISBN: 1444320408

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The need for evidence-based decisions that take account of botheffectiveness and economics is greater now than ever. Using casestudies and illustrative examples throughout the authors describehow the activities and outputs of evidence synthesis, systematicreview, economic analysis and decision-making interact within andacross different spheres of health and social policy and practice. Expanding on the first edition the book now covers approaches toevidence synthesis that combine economics and systematic reviewmethods in the applied fields of social welfare, education andcriminal justice, as well as health care. Written by economists andhealth services researchers closely involved in developingevidence-based policy and practice it showcases currentstate-of-the-art methodology and will be an invaluable read for allpolicy-makers and practitioners using evidence to inform decisions,analysts conducting research to support decisions and studentsdiscovering the need for evidence-based decisions to incorporateeconomic perspectives and evidence.


Evidence-based Decisions and Economics

Evidence-based Decisions and Economics
Author: Ian Shemilt
Publisher: John Wiley & Sons
Total Pages: 217
Release: 2010-04-26
Genre: Medical
ISBN: 1405191538

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The need for evidence-based decisions that take account of both effectiveness and economics is greater now than ever. Using case studies and illustrative examples throughout the authors describe how the activities and outputs of evidence synthesis, systematic review, economic analysis and decision-making interact within and across different spheres of health and social policy and practice. Expanding on the first edition the book now covers approaches to evidence synthesis that combine economics and systematic review methods in the applied fields of social welfare, education and criminal justice, as well as health care. Written by economists and health services researchers closely involved in developing evidence-based policy and practice it showcases current state-of-the-art methodology and will be an invaluable read for all policy-makers and practitioners using evidence to inform decisions, analysts conducting research to support decisions and students discovering the need for evidence-based decisions to incorporate economic perspectives and evidence.


Evidence-Based Decision-Making

Evidence-Based Decision-Making
Author: Andrew D. Banasiewicz
Publisher: Routledge
Total Pages: 270
Release: 2019-03-04
Genre: Business & Economics
ISBN: 1351050060

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Evidence-Based Decision-Making: How to Leverage Available Data and Avoid Cognitive Biases examines how a wide range of factual evidence, primarily derived from a variety of data available to organizations, can be used to improve the quality of business decision-making, by helping decision makers circumvent the various cognitive biases that adversely impact how we all think. The book is built on the following premise: During the past decade, the new ‘data world’ emerged, in which the rush to develop competencies around business analytics and data science can be characterized as nothing less than the new commercial arms race. The ever-expanding volume and variety of data are well known, as are the great advances in data processing/analytics, data visualization, and related information production-focused capabilities. Yet, comparatively little effort has been devoted to how the informational products of business analytics and data science are ‘consumed’ or used in the organizational decision-making processes, as the available evidence shows that only some of that information is used to drive some business decisions some of the time. Evidence-Based Decision-Making details an explicit process describing how the universe of available and applicable evidence, which includes organizational and other data, industry benchmarks, scientific studies, and professional experience, can be assessed, amalgamated, and funneled into an objective driver of key business decisions. Introducing key concepts in relation to data and evidence, and the history of evidence-based management, this new and extremely topical book will be essential reading for researchers and students of data analytics as well as those working in the private and public sectors, and in the voluntary sector.


Evidence-Based Health Economics

Evidence-Based Health Economics
Author: Miranda Mugford
Publisher:
Total Pages: 176
Release: 2014-05-28
Genre:
ISBN: 9780470715888

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This text recognises the need for evidence-based principles in economic evaluation, and that they should be based themselves on health economics. It discusses systematic review in economic analysis and suggests how to perform analyses in an evidence-based way.


Decision Modelling for Health Economic Evaluation

Decision Modelling for Health Economic Evaluation
Author: Andrew Briggs
Publisher: OUP Oxford
Total Pages: 269
Release: 2006-08-17
Genre: Medical
ISBN: 0191004952

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In financially constrained health systems across the world, increasing emphasis is being placed on the ability to demonstrate that health care interventions are not only effective, but also cost-effective. This book deals with decision modelling techniques that can be used to estimate the value for money of various interventions including medical devices, surgical procedures, diagnostic technologies, and pharmaceuticals. Particular emphasis is placed on the importance of the appropriate representation of uncertainty in the evaluative process and the implication this uncertainty has for decision making and the need for future research. This highly practical guide takes the reader through the key principles and approaches of modelling techniques. It begins with the basics of constructing different forms of the model, the population of the model with input parameter estimates, analysis of the results, and progression to the holistic view of models as a valuable tool for informing future research exercises. Case studies and exercises are supported with online templates and solutions. This book will help analysts understand the contribution of decision-analytic modelling to the evaluation of health care programmes. ABOUT THE SERIES: Economic evaluation of health interventions is a growing specialist field, and this series of practical handbooks will tackle, in-depth, topics superficially addressed in more general health economics books. Each volume will include illustrative material, case histories and worked examples to encourage the reader to apply the methods discussed, with supporting material provided online. This series is aimed at health economists in academia, the pharmaceutical industry and the health sector, those on advanced health economics courses, and health researchers in associated fields.


Decision Economics. Designs, Models, and Techniques for Boundedly Rational Decisions

Decision Economics. Designs, Models, and Techniques for Boundedly Rational Decisions
Author: Edgardo Bucciarelli
Publisher: Springer
Total Pages: 179
Release: 2018-12-28
Genre: Technology & Engineering
ISBN: 3319996983

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The special session on Decision Economics (DECON) is a scientific forum held annually, which is focused on sharing ideas, projects, research results, models, and experiences associated with the complexity of behavioural decision processes and socio‐economic phenomena. In 2018, DECON was held at Campus Tecnológico de la Fábrica de Armas, University of Castilla-La Mancha, Toledo, Spain, as part of the 15th International Conference on Distributed Computing and Artificial Intelligence. For the third consecutive year, this book have drawn inspiration from Herbert A. Simon’s interdisciplinary legacy and, in particular, is devoted to designs, models, and techniques for boundedly rational decisions, involving several fields of study and expertise. It is worth noting that the recognition of relevant decision‐making takes place in a range of critical subject areas and research fields, including economics, finance, information systems, small and international business management, operations, and production. Therefore, decision‐making issues are of fundamental importance in all branches of economics addressed with different methodological approaches. As a matter of fact, the study of decision‐making has become the focus of intense research efforts, both theoretical and applied, forming a veritable bridge between theory and practice as well as science and business organisations, whose pillars are based on insightful cutting‐edge experimental, behavioural, and computational approaches on the one hand, and celebrating the value of science as well as the close relationship between economics and complexity on the other. In this respect, the international scientific community acknowledges Herbert A. Simon’s research endeavours to understand the processes involved in economic decision‐making and their implications for the advancement of economic professions. Within the field of decision‐making, indeed, Simon has become a mainstay of bounded rationality and satisficing. His rejection of the standard (unrealistic) decision‐making models adopted by neoclassical economists inspired social scientists worldwide with the purpose to develop research programmes aimed at studying decision‐making empirically, experimentally, and computationally. The main achievements concern decision‐making for individuals, firms, markets, governments, institutions, and, last but not least, science and research. This book of selected papers tackles these issues that Simon broached in a professional career spanning more than sixty years. The Editors of this book dedicated it to Herb.


Health Economics from Theory to Practice

Health Economics from Theory to Practice
Author: Simon Eckermann
Publisher: Springer
Total Pages: 339
Release: 2017-03-20
Genre: Business & Economics
ISBN: 3319506137

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This book provides a robust set of health economic principles and methods to inform societal decisions in relation to research, reimbursement and regulation (pricing and monitoring of performance in practice). We provide a theoretical and practical framework that navigates to avoid common biases and suboptimal outcomes observed in recent and current practice of health economic analysis, as opposed to claiming to be comprehensive in covering all methods. Our aim is to facilitate efficient health system decision making processes in research, reimbursement and regulation, which promote constrained optimisation of community outcomes from a societal perspective given resource constraints, available technology and processes of technology assessment. Importantly, this includes identifying an efficient process to maximize the potential that arises from research and pricing in relation to existing technology under uncertainty, given current evidence and associated opportunity costs of investment. Principles and methods are identified and illustrated across health promotion, prevention and palliative care settings as well as treatment settings. Health policy implications are also highlighted.


Decision Making for the Environment

Decision Making for the Environment
Author: National Research Council
Publisher: National Academies Press
Total Pages: 297
Release: 2005-07-01
Genre: Science
ISBN: 0309095409

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With the growing number, complexity, and importance of environmental problems come demands to include a full range of intellectual disciplines and scholarly traditions to help define and eventually manage such problems more effectively. Decision Making for the Environment: Social and Behavioral Science Research Priorities is the result of a 2-year effort by 12 social and behavioral scientists, scholars, and practitioners. The report sets research priorities for the social and behavioral sciences as they relate to several different kinds of environmental problems.


Decision Economics: Complexity of Decisions and Decisions for Complexity

Decision Economics: Complexity of Decisions and Decisions for Complexity
Author: Edgardo Bucciarelli
Publisher: Springer Nature
Total Pages: 334
Release: 2020-02-07
Genre: Technology & Engineering
ISBN: 3030382273

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This book is based on the International Conference on Decision Economics (DECON 2019). Highlighting the fact that important decision-making takes place in a range of critical subject areas and research fields, including economics, finance, information systems, psychology, small and international business, management, operations, and production, the book focuses on analytics as an emerging synthesis of sophisticated methodology and large data systems used to guide economic decision-making in an increasingly complex business environment. DECON 2019 was organised by the University of Chieti-Pescara (Italy), the National Chengchi University of Taipei (Taiwan), and the University of Salamanca (Spain), and was held at the Escuela politécnica Superior de Ávila, Spain, from 26th to 28th June, 2019. Sponsored by IEEE Systems Man and Cybernetics Society, Spain Section Chapter, and IEEE Spain Section (Technical Co-Sponsor), IBM, Indra, Viewnext, Global Exchange, AEPIA-and-APPIA, with the funding supporting of the Junta de Castilla y León, Spain (ID: SA267P18-Project co-financed with FEDER funds)


Data Science for Economics and Finance

Data Science for Economics and Finance
Author: Sergio Consoli
Publisher: Springer Nature
Total Pages: 357
Release: 2021
Genre: Application software
ISBN: 3030668916

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This open access book covers the use of data science, including advanced machine learning, big data analytics, Semantic Web technologies, natural language processing, social media analysis, time series analysis, among others, for applications in economics and finance. In addition, it shows some successful applications of advanced data science solutions used to extract new knowledge from data in order to improve economic forecasting models. The book starts with an introduction on the use of data science technologies in economics and finance and is followed by thirteen chapters showing success stories of the application of specific data science methodologies, touching on particular topics related to novel big data sources and technologies for economic analysis (e.g. social media and news); big data models leveraging on supervised/unsupervised (deep) machine learning; natural language processing to build economic and financial indicators; and forecasting and nowcasting of economic variables through time series analysis. This book is relevant to all stakeholders involved in digital and data-intensive research in economics and finance, helping them to understand the main opportunities and challenges, become familiar with the latest methodological findings, and learn how to use and evaluate the performances of novel tools and frameworks. It primarily targets data scientists and business analysts exploiting data science technologies, and it will also be a useful resource to research students in disciplines and courses related to these topics. Overall, readers will learn modern and effective data science solutions to create tangible innovations for economic and financial applications.