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Adjusting for bias in C/E ratio estimates
Author(s) -
Stinnett Aaron A.
Publication year - 1996
Publication title -
health economics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.55
H-Index - 109
eISSN - 1099-1050
pISSN - 1057-9230
DOI - 10.1002/(sici)1099-1050(199609)5:5<470::aid-hec224>3.0.co;2-5
Subject(s) - estimator , statistics , econometrics , sample size determination , point estimation , sample (material) , mathematics , chemistry , chromatography
Abstract The estimator used to calculate incremental cost‐effectiveness (C/E) ratios from sampled data is biased but consistent. While the bias may be negligible in studies with large sample sizes, it is potentially important in analyses based on small samples. When patient‐level data on costs and effects are available, bootstrap simulation methods can be used to estimate the bias of a C/E ratio and adjust the point estimate accordingly.