Resampling and multiplicity in cost-effectiveness inference.

R L Obenchain

doi:10.1081/bip-100101196

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Resampling and multiplicity in cost-effectiveness inference.

R L Obenchain

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Abstract

We compare published methods for placing statistical confidence limits around incremental cost-effectiveness ratio statistics and show that only a nonparametric, bootstrap approach using polar angles gives completely reasonable results when neither treatment has significant advantages in cost or effectiveness. We also discuss alternative ways to report analytical results using plots, confidence or tolerance limits, and quadrant acceptability fractions. Finally, we use simulation to study the multiplicity bias that can be introduced into ICER confidence limits when only the most favorable results are reported over several possible choices of numerator cost measure and denominator effectiveness measure.

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Confidence Intervals Cost-Benefit Analysis Data Interpretation, Statistical Economics, Pharmaceutical Health Care Costs Models, Econometric Statistics, Nonparametric Comparative Study Journal Article

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R L Obenchain. 1999. Resampling and multiplicity in cost-effectiveness inference.. https://doi.org/10.1081/bip-100101196

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