This work takes a fresh and contemporary look at the growing interest in the development and application of discrete choice experiments (DCEs) within the field of health economics. The book comprises chapters by highly regarded academics with experience of applying DCEs in the area of health. Thus the book is relevant to post-graduate students and applied researchers with an interest in the use of DCEs for valuing health and health care and has international appeal.
This work takes a fresh and contemporary look at the growing interest in the development and application of discrete choice experiments (DCEs) within the field of health economics. The book comprises chapters by highly regarded academics with experience of applying DCEs in the area of health. Thus the book is relevant to post-graduate students and applied researchers with an interest in the use of DCEs for valuing health and health care and has international appeal.
This work takes a fresh and contemporary look at the growing interest in the development and application of discrete choice experiments (DCEs) within the field of health economics. The book comprises chapters by highly regarded academics with experience of applying DCEs in the area of health. Thus the book is relevant to post-graduate students and applied researchers with an interest in the use of DCEs for valuing health and health care and has international appeal.
A fully updated second edition of this popular introduction to applied choice analysis, written for graduate students, researchers, professionals and consultants.
The most comprehensive and applied discussion of stated choice experiment constructions available The Construction of Optimal Stated Choice Experiments provides an accessible introduction to the construction methods needed to create the best possible designs for use in modeling decision-making. Many aspects of the design of a generic stated choice experiment are independent of its area of application, and until now there has been no single book describing these constructions. This book begins with a brief description of the various areas where stated choice experiments are applicable, including marketing and health economics, transportation, environmental resource economics, and public welfare analysis. The authors focus on recent research results on the construction of optimal and near-optimal choice experiments and conclude with guidelines and insight on how to properly implement these results. Features of the book include: Construction of generic stated choice experiments for the estimation of main effects only, as well as experiments for the estimation of main effects plus two-factor interactions Constructions for choice sets of any size and for attributes with any number of levels A discussion of designs that contain a none option or a common base option Practical techniques for the implementation of the constructions Class-tested material that presents theoretical discussion of optimal design Complete and extensive references to the mathematical and statistical literature for the constructions Exercise sets in most chapters, which reinforce the understanding of the presented material The Construction of Optimal Stated Choice Experiments serves as an invaluable reference guide for applied statisticians and practitioners in the areas of marketing, health economics, transport, and environmental evaluation. It is also ideal as a supplemental text for courses in the design of experiments, decision support systems, and choice models. A companion web site is available for readers to access web-based software that can be used to implement the constructions described in the book.
This is the first book to offer a comprehensive guide to involving patients in health technology assessment (HTA). Defining patient involvement as patient participation in the HTA process and research into patient aspects, this book includes detailed explanations of approaches to participation and research, as well as case studies. Patient Involvement in HTA enables researchers, postgraduate students, HTA professionals and experts in the HTA community to study these complementary ways of taking account of patients’ knowledge, experiences, needs and preferences. Part I includes chapters discussing the ethical rationale, terminology, patient-based evidence, participation and patient input. Part II sets out methodology including: Qualitative Evidence Synthesis, Discrete Choice Experiments, Analytical Hierarchy Processes, Ethnographic Fieldwork, Deliberative Methods, Social Media Analysis, Patient-Reported Outcome Measures, patients as collaborative research partners and evaluation. Part III contains 15 case studies setting out current activities by HTA bodies on five continents, health technology developers and patient organisations. Each part includes discussion chapters from leading experts in patient involvement. A final chapter reflects on the need to clearly define the goals for patient involvement within the context of the HTA to identify the optimal approach. With cohesive contributions from more than 80 authors from a variety of disciplines around the globe, it is hoped this book will serve as a catalyst for collaboration to further develop patient involvement to improve HTA. "If you’re not involving patients, you're not doing HTA!" - Dr. Brian O’Rourke, President and CEO of CADTH, Chair of INAHTA
There are not enough resources in health care systems around the world to fund all technically feasible and potentially beneficial health care interventions. Difficult choices have to be made, and economic evaluation offers a systematic and transparent process for informing such choices. A key component of economic evaluation is how to value the benefits of health care in a way that permits comparison between health care interventions, such as through costs per quality-adjusted life years (QALY). Measuring and Valuing Health Benefits for Economic Evaluation examines the measurement and valuation of health benefits, reviews the explosion of theoretical and empirical work in the field, and explores an area of research that continues to be a major source of debate. It addresses the key questions in the field including: the definition of health, the techniques of valuation, who should provide the values, techniques for modelling health state values, the appropriateness of tools in children and vulnerable groups, cross cultural issues, and the problem of choosing the right instrument. This new edition contains updated empirical examples and practical applications, which help to clarify the readers understanding of real world contexts. It features a glossary containing the common terms used by practitioners, and has been updated to cover new measures of health and wellbeing, such as ICECAP, ASCOT and AQOL. It takes into account new research into the social weighting of a QALY, the rising use of ordinal valuation techniques, use of the internet to collect data, and the use of health state utility values in cost effectiveness models. This is an ideal resource for anyone wishing to gain a specialised understanding of health benefit measurement in economic evaluation, especially those working in the fields of health economics, public sector economics, pharmacoeconomics, health services research, public health, and quality of life research.
Almost without exception, everything human beings undertake involves a choice. In recent years there has been a growing interest in the development and application of quantitative statistical methods to study choices made by individuals with the purpose of gaining a better understanding both of how choices are made and of forecasting future choice responses. In this primer the authors provide an unintimidating introduction to the main techniques of choice analysis and include detail on themes such as data collection and preparation, model estimation and interpretation and the design of choice experiments. A companion website to the book provides practice data sets and software to estimate the main discrete choice models such as multinomial logit, nested logit and mixed logit. This primer will be an invaluable resource to students as well as of immense value to consultants and professionals, researchers and anyone else interested in choice analysis and modelling.
This book describes the new generation of discrete choice methods, focusing on the many advances that are made possible by simulation. Researchers use these statistical methods to examine the choices that consumers, households, firms, and other agents make. Each of the major models is covered: logit, generalized extreme value, or GEV (including nested and cross-nested logits), probit, and mixed logit, plus a variety of specifications that build on these basics. Simulation-assisted estimation procedures are investigated and compared, including maximum stimulated likelihood, method of simulated moments, and method of simulated scores. Procedures for drawing from densities are described, including variance reduction techniques such as anithetics and Halton draws. Recent advances in Bayesian procedures are explored, including the use of the Metropolis-Hastings algorithm and its variant Gibbs sampling. The second edition adds chapters on endogeneity and expectation-maximization (EM) algorithms. No other book incorporates all these fields, which have arisen in the past 25 years. The procedures are applicable in many fields, including energy, transportation, environmental studies, health, labor, and marketing.
