Estimating the Weighting Components of a Health Quality Index

Jinook Jeong, Patrick D. Mauldin

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

This paper introduces a maximum likelihood estimation model that uses patients' pretherapy characteristics to determine the weighting components of multipe outcomes of quality health. The resulting "health quality index" can then be included in cost-effectiveness analyses to compare alternative treatment plans. A Monte Carlo simulation is performed to test the model's robustness and power.

Original languageEnglish
Pages (from-to)779-790
Number of pages12
JournalBiometrical Journal
Volume38
Issue number7
DOIs
Publication statusPublished - 1996 Jan 1

Fingerprint

Weighting
Health
Model Robustness
Cost-effectiveness
Maximum Likelihood Estimation
Monte Carlo Simulation
Alternatives
Model
Monte Carlo simulation
Maximum likelihood estimation
Robustness

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

Cite this

Jeong, Jinook ; Mauldin, Patrick D. / Estimating the Weighting Components of a Health Quality Index. In: Biometrical Journal. 1996 ; Vol. 38, No. 7. pp. 779-790.
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Estimating the Weighting Components of a Health Quality Index. / Jeong, Jinook; Mauldin, Patrick D.

In: Biometrical Journal, Vol. 38, No. 7, 01.01.1996, p. 779-790.

Research output: Contribution to journalArticle

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