## Abstract Genomeβwide association studies are carried out to identify unknown genes for a complex trait. Polymorphisms showing the most statistically significant associations are reported and followed up in subsequent confirmatory studies. In addition to the test of association, the statistical a
Adjusting for bias in C/E ratio estimates
β Scribed by Aaron A. Stinnett
- Publisher
- John Wiley and Sons
- Year
- 1996
- Tongue
- English
- Weight
- 216 KB
- Volume
- 5
- Category
- Article
- ISSN
- 1057-9230
No coin nor oath required. For personal study only.
β¦ Synopsis
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.
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