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This guide explains how to apply health economic evaluation techniques to both clinical trial and non-clinical trial data. Through a simple, applied approach using examples and SAS software, the book helps statisticians and researchers in health economics assess cost-effectiveness. It covers trial design, case report form design, quality of life measures, sample sizes, submissions to regulatory authorities for reimbursement, Markov models, cohort models, and decision trees. Examples and case studies are provided at the end of each chapter.
Iftekhar Khan is a statistician, health economics researcher and academic at University College London (University of London). He has been an applied statistician for over 15 years in clinical trials, having worked in pharmaceutical companies and academic clinical trials units. Iftekhar Khan has completed degrees in statistics and mathematics from King's College London, the University of Kent and the University of Cambridge, including a master's in health economics and a PhD in health economic modelling (University College London).
Introduction to Economic Evaluation. Health Economic Evaluation Concepts. Designing Cost-Effectiveness into a Clinical Trial. Analyzing Cost Data Collected in a Clinical Trial. Quality of Life in Economic Evaluation. Modelling in Economic Evaluation. Sensitivity Analyses. Sample Size and Value of Information for Cost-Effectiveness Trials. Mixed Treatment Comparisons, Evidence Synthesis. Cost-Effectiveness Analyses of Cancer Trials. The Reimbursement Environment. References. Bibliography. Index.
