Statistical Topics in Health Economics and Outcomes Research

Demissie Alemayehu, PhD, Joseph C. Cappelleri, PhD, Birol Emir, PhD, Kelly H. Zou, PhD, Pstat

November 28, 2017 by Chapman and Hall/CRC
Reference - 190 Pages - 12 B/W Illustrations
ISBN 9781498781879 - CAT# K30016
Series: Chapman & Hall/CRC Biostatistics Series

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Features

  • Provides an overview on some of the key statistical issues in HEOR.
  • Highlights emerging and current trends and guidelines for best practice.
  • Includes topics on patient-reported outcomes, observational data analysis, cost- effectiveness analysis, predictive modeling, and precision medicine.
  • Illustrates methods through examples and case studies.
  • Provides guidance, in some chapters, to implement software for analysis.

Summary

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.

The book will make a very useful reference for researchers in the pharmaceutical industry, academia, and research institutions involved with HEOR studies. The targeted readers may include statisticians, data scientists, epidemiologists, outcomes researchers, health economists, and healthcare policy and decision-makers.

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