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.
1. Data Sources for Health Economics and Outcomes Research
Kelly H. Zou, Christine L. Baker, Joseph C. Cappelleri, and Richard B. Chambers
2. Patient-Reported Outcomes: Development and Validation
Joseph C. Cappelleri, Andrew G. Bushmakin, and Jose Ma. J. Alvir
3. Observational Data Analysis
Demissie Alemayehu, Marc Berger, Vitalii Doban, and Jack Mardekian
4. Predictive Modeling in HEOR
Birol Emir, David C. Gruben, Helen T. Bhattacharyya, Arlene L. Reisman, and Javier Cabrera
5. Methodological Issues in Health Economic Analysis
Demissie Alemayehu, Thomas Mathew, and Richard J. Willke
6. Analysis of Aggregate Data
Demissie Alemayehu, Andrew G. Bushmakin, and Joseph C. Cappelleri
7. Health Economics and Outcomes Research in Precision Medicine
Demissie Alemayehu, Joseph C. Cappelleri, Birol Emir, and Josephine Sollano
8. Best Practices for Conducting and Reporting Health Economics and Outcomes Research
Kelly H. Zou, Joseph C. Cappelleri, Christine L. Baker, and Eric C. Yan