Statistical Topics in Health Economics and Outcomes Research

With ever-rising healthcare costs, evidence generation through Health Economics and Outcomes Research (HEOR) plays an increasingly important role in decision-making about the allocation of resources. Accordingly, it is now customary for health technology assessment and reimbursement agencies to requ...

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Bibliographic Details
Other Authors: Alemayehu, Demissie (Editor)
Format: Book
Language:English
Published: Boca Raton CRC Press, Taylor & Francis Group 2018
Series:Chapman & Hall/CRC Biostatistics series
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Online Access:Click Here to View Status and Holdings.
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245 0 0 |a Statistical Topics in Health Economics and Outcomes Research  |c edited by Demissie Alemayehu, PhD, Joseph C. Cappelleri, PhD, MPH, MS, Birol Emir, PhD, Kelly H. Zou, PhD, PStat 
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500 # # |a "A Chapman & Hall book." 
504 # # |a Includes bibliographical references and index 
520 # # |a With ever-rising healthcare costs, evidence generation through Health Economics and Outcomes Research (HEOR) plays an increasingly important role in decision-making about the allocation of resources. Accordingly, it is now customary for health technology assessment and reimbursement agencies to request for HEOR evidence, in addition to data from clinical trials, to inform decisions about patient access to new treatment options. While there is a great deal of literature on HEOR, there is a need for a volume that presents a coherent and unified review of the major issues that arise in application, especially from a statistical perspective. Statistical Topics in Health Economics and Outcomes Research fulfils that need by presenting an overview of the key analytical issues and best practice. Special attention is paid to key assumptions and other salient features of statistical methods customarily used in the area, and appropriate and relatively comprehensive references are made to emerging trends. The content of the book is purposefully designed to be accessible to readers with basic quantitative backgrounds, while providing an in-depth coverage of relatively complex statistical issues 
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