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- W2297318577 abstract "In clinical research, a two-stage design usually indicated that the best of several experimental treatments was selected at the first stage and confirmed whether it was better than the standard treatment at the second stage. This paper proposed a two-stage design for non-inferiority test or equivalent test. We select the best of several experimental treatments and test whether it is not inferior to a standard treatment or is equivalent to a standard treatment. The sample size is parsimonious only for the best treatment and the standard treatment at the second stage. The design allows early termination when the null hypothesis does not reject. By minimizing expected total sample size for fixed significance level and power, an adaptive optimal sample size and cut-off parameters are obtained. Finally, a simulation study was conducted to compare the difference of sample size between one-stage design and two-stage design for non-inferiority test or equivalent test. The two-stage design has small total sample size for non-inferiority test or equivalent test." @default.
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- W2297318577 date "2011-06-01" @default.
- W2297318577 modified "2023-09-23" @default.
- W2297318577 title "Sample Size Determination for Two-Stage Equivalence Test" @default.
- W2297318577 doi "https://doi.org/10.29807/jtitas.201106.0003" @default.
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