Abstract
To construct a confidence interval of effect size in paired studies, we propose four approximate methods - Wald method, variance-stabilizing transformation method, and signed and modified signed log-likelihood ratio methods. We compare these methods using simulation to determine those that have good performance in terms of coverage probability. In particular, simulations show that the modified signed log-likelihood ratio method produces a confidence interval with a nearly exact coverage probability and highly accurate and symmetric error probabilities even for very small samples. We apply the methods to data from an iron deficiency anemia study.
Original language | English |
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Pages (from-to) | 765-773 |
Number of pages | 9 |
Journal | Biometrical Journal |
Volume | 49 |
Issue number | 5 |
DOIs | |
State | Published - Aug 2007 |
Keywords
- Asymptotic theory
- Confidence interval
- Effect size
- Signed log-likelihood ratio
- Small sample
- r*-Formula
ASJC Scopus subject areas
- Statistics and Probability
- Statistics, Probability and Uncertainty