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Sampling uncertainty: calculation, sample size and power, and decision criteria 

Sampling uncertainty: calculation, sample size and power, and decision criteria
Chapter:
Sampling uncertainty: calculation, sample size and power, and decision criteria
Author(s):

Dr. Henry A. Glick

, Dr. Jalpa A. Doshi

, Dr. Seema S. Sonnad

, and Dr. Daniel Polsky

DOI:
10.1093/med/9780199685028.003.0009
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date: 23 August 2019

This chapter introduces methods of calculation of the confidence interval for the cost-effectiveness ratio, confidence interval for net monetary benefit, acceptability curve, and the per-person value of perfect information. It also discusses problems with commonly used methods for constructing acceptability curves when more than two therapies are being compared as well as describing methods for calculating sample size and power for the evaluation of cost-effectiveness analyses and how the inclusion of sampling uncertainty leads to revisions in the decision rules for choosing therapies. Finally, it illustrates that acceptability curves, value of information curves, and power curves related to sample size all generally reduce to two idealized curves, but that because they are commonly graphed solely for positive values of willingness to pay, these curves can appear to have many different shapes.

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