Abstract
In this paper we use the idea of strong curtailment to define a hybrid selection and testing procedure for finding the best among several experimental Bernoulli populations, provided that it is better than a control Bernoulli population. Our curtailment procedure is based on the fixed-sample-size selection and testing procedure proposed by Thall et al. (1988). Our curtailment procedure reaches the same probability of a correct selection as the original procedure, but requires fewer observations.
Original language | English (US) |
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Pages (from-to) | 2-20 |
Number of pages | 19 |
Journal | Sequential Analysis |
Volume | 28 |
Issue number | 1 |
DOIs | |
State | Published - Jan 2009 |
Keywords
- Bernoulli population
- Better efficiency
- Clinical trials
- Correct selection
- Curtailment
- Sample size
ASJC Scopus subject areas
- Statistics and Probability
- Modeling and Simulation