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Related Experiment Video

Updated: Jun 22, 2026

Correction of Presbyopia by Monocular Bi-Aspheric Ablation Profile

Published on: September 20, 2024

The half-cycle correction: banish rather than explain it.

Jan J Barendregt¹

¹University of Queensland, School of Population Health, Herston, Australia. j.barendregt@sph.uq.edu.au

Medical Decision Making : an International Journal of the Society for Medical Decision Making

|July 3, 2009

Summary

This summary is machine-generated.

The half-cycle correction in discrete Markov models is often incorrect, especially with varying costs or quality-adjusted life year (QALY) weights. The transparent life table method provides accurate state membership estimation and should replace the flawed half-cycle correction.

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Area of Science:

Health economics
Biostatistics
Markov modeling

Background:

Discrete Markov models are widely used for health economic evaluations.
The half-cycle correction is a common technique to estimate state membership within these models.
Concerns exist regarding the accuracy and interpretability of the half-cycle correction.

Purpose of the Study:

To critically evaluate the accuracy and appropriateness of the half-cycle correction in discrete Markov models.
To compare the half-cycle correction with the life table method for estimating state membership.
To provide recommendations for the correct estimation of state membership in health economic models.

Main Methods:

Analysis of discrete Markov models with varying cycle-dependent parameters (e.g., quality-adjusted life year weights, unit costs).
Assessment of the compatibility of the half-cycle correction with discounting methods.
Comparison of state membership estimations derived from the half-cycle correction and the life table method.

Main Results:

The half-cycle correction yields inaccurate state membership estimations when parameters vary by cycle.
The half-cycle correction is incompatible with the discounting of state membership streams.
The life table method provides accurate and transparent state membership estimations under these conditions.

Conclusions:

The half-cycle correction is fundamentally flawed and should be abandoned in discrete Markov modeling.
The life table method offers a more accurate, transparent, and robust approach for state membership estimation.
Adoption of the life table method will improve the reliability of health economic evaluations.