Chapter

Complex Decision Problems

Diana B. Petitti

in Meta-Analysis, Decision Analysis, and Cost-Effectiveness Analysis

Second edition

Published in print November 1999 | ISBN: 9780195133646
Published online September 2009 | e-ISBN: 9780199863761 | DOI: http://dx.doi.org/10.1093/acprof:oso/9780195133646.003.09

Series: Monographs in Epidemiology and Biostatistics

Complex Decision Problems

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This chapter describes how to build and analyze decision trees with more than two alternative interventions, more that two outcomes, or both. Life expectancy is often the outcome measure in decision analysis. Its estimation is also integral to many cost-effectiveness analyses. The chapter discusses the estimation of life-expectancy using the declining exponential approximation of life expectancy (DEALE). It introduces Markov models as a way to represent complex, time-related processes in a decision analysis. The difference between a Markov model and a Markov chain is explained.

Keywords: decision analysis; life-expectancy; DEALE; cost-effectiveness analysis; Markov model; Markov chain

Chapter.  5697 words.  Illustrated.

Subjects: Public Health and Epidemiology

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