Non-inferiority studies with multiple reference treatments
The increasing popularity of noninferiority trials reflects the ongoing efforts to replace existing treatments (reference treatments) with new treatments (experimental treatments) that retain a substantial fraction of the effect of the reference treatments. The adoption of any new treatment has to b...
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sg-smu-ink.soe_research-31322018-01-11T03:30:11Z Non-inferiority studies with multiple reference treatments HUANG, Li-Ching WEN, Miin-Jye CHEUNG, Siu Hung KWONG, Koon Shing The increasing popularity of noninferiority trials reflects the ongoing efforts to replace existing treatments (reference treatments) with new treatments (experimental treatments) that retain a substantial fraction of the effect of the reference treatments. The adoption of any new treatment has to be vindicated by a demonstration of benefits that outweigh a possible clinically insignificant reduction in the reference treatment efficacy. Statistical methods have been developed to analyze data collected from noninferiority trials. However, these methods focus on cases with only one reference treatment. In this paper, we provide the statistical inferential procedures for situations with multiple reference treatments. The computation of the corresponding critical values for simultaneous testings of noninferiority of several new treatments to multiple reference treatments in the presence of a placebo is provided. Furthermore, for a prespecified level of test power, a technique to determine the optimal sample size before the onset of a noninferiority trial is derived. A clinical example is given to illustrate our proposed procedure. 2017-06-01T07:00:00Z text https://ink.library.smu.edu.sg/soe_research/2132 info:doi/10.1177/0962280215576017 Research Collection School Of Economics eng Institutional Knowledge at Singapore Management University Econometrics |
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The increasing popularity of noninferiority trials reflects the ongoing efforts to replace existing treatments (reference treatments) with new treatments (experimental treatments) that retain a substantial fraction of the effect of the reference treatments. The adoption of any new treatment has to be vindicated by a demonstration of benefits that outweigh a possible clinically insignificant reduction in the reference treatment efficacy. Statistical methods have been developed to analyze data collected from noninferiority trials. However, these methods focus on cases with only one reference treatment. In this paper, we provide the statistical inferential procedures for situations with multiple reference treatments. The computation of the corresponding critical values for simultaneous testings of noninferiority of several new treatments to multiple reference treatments in the presence of a placebo is provided. Furthermore, for a prespecified level of test power, a technique to determine the optimal sample size before the onset of a noninferiority trial is derived. A clinical example is given to illustrate our proposed procedure. |
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HUANG, Li-Ching WEN, Miin-Jye CHEUNG, Siu Hung KWONG, Koon Shing |
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HUANG, Li-Ching WEN, Miin-Jye CHEUNG, Siu Hung KWONG, Koon Shing |
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HUANG, Li-Ching |
title |
Non-inferiority studies with multiple reference treatments |
title_short |
Non-inferiority studies with multiple reference treatments |
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Non-inferiority studies with multiple reference treatments |
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Non-inferiority studies with multiple reference treatments |
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Non-inferiority studies with multiple reference treatments |
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non-inferiority studies with multiple reference treatments |
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Institutional Knowledge at Singapore Management University |
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2017 |
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https://ink.library.smu.edu.sg/soe_research/2132 |
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