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Estimating the Weighting Components of a Health Quality Index
Author(s) -
Jeong Jinook,
Mauldin Patrick D.
Publication year - 1996
Publication title -
biometrical journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.108
H-Index - 63
eISSN - 1521-4036
pISSN - 0323-3847
DOI - 10.1002/bimj.4710380704
Subject(s) - weighting , robustness (evolution) , monte carlo method , statistics , index (typography) , computer science , econometrics , reliability engineering , mathematics , medicine , engineering , biochemistry , chemistry , world wide web , gene , radiology
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.