Imprecision issues of two conditional powers and six predictive powers when the sample size of the interim data is fixed

Imprecisions are often encountered for powers and predictive powers in clinical trials. The imprecision issues of two conditional powers (classical conditional power (CCP) and bayesian conditional power (BCP)) and six predictive powers with interim data are investigated in this article. At the beginning, we have evaluated the limits of the probabilities of control superior (CS), treatment superior (TS), and equivocal (E) of the two conditional powers and the six predictive powers at point 0 when the sample size of the interim data is fixed. Moreover, we have conducted extensive numerical experiments to exemplify the imprecision issues of the two conditional powers and the six predictive powers. First, we have computed the probabilities of CS, TS, and E for the two conditional powers when the true treatment effect favors control, treatment, and equivocal, respectively. Second, we have computed the probabilities of CS, TS, and E for the six predictive powers under the sceptical prior and the optimistic prior, respectively. We find that the two conditional powers and the six predictive powers will encounter the imprecision issues as long as the parameter values are properly chosen. Finally, a real data example is given to illustrate the imprecision issues.

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Publication Details

Journal
Communication in Statistics- Theory and Methods
Published
2025-01-10
DOI
https://doi.org/10.1080/03610926.2024.2447827
Primary Topic
Advanced Statistical Process Monitoring
Type
article
Field-Weighted Citation Impact
0.00

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article

Imprecision issues of two conditional powers and six predictive powers when the sample size of the interim data is fixed

Ying‐Ying Zhang
Communication in Statistics- Theory and Methods
Advanced Statistical Process Monitoring
article

Imprecision issues of two conditional powers and six predictive powers when the sample size of the interim data is fixed

Ying‐Ying Zhang
article en

Abstract

Imprecisions are often encountered for powers and predictive powers in clinical trials. The imprecision issues of two conditional powers (classical conditional power (CCP) and bayesian conditional power (BCP)) and six predictive powers with interim data are investigated in this article. At the beginning, we have evaluated the limits of the probabilities of control superior (CS), treatment superior (TS), and equivocal (E) of the two conditional powers and the six predictive powers at point 0 when the sample size of the interim data is fixed. Moreover, we have conducted extensive numerical experiments to exemplify the imprecision issues of the two conditional powers and the six predictive powers. First, we have computed the probabilities of CS, TS, and E for the two conditional powers when the true treatment effect favors control, treatment, and equivocal, respectively. Second, we have computed the probabilities of CS, TS, and E for the six predictive powers under the sceptical prior and the optimistic prior, respectively. We find that the two conditional powers and the six predictive powers will encounter the imprecision issues as long as the parameter values are properly chosen. Finally, a real data example is given to illustrate the imprecision issues.

Communication in Statistics- Theory and MethodsVol. 54(18)
Yunnan University (CN)
National Social Science Fund of China
Openalex Percentile: Top 99%
Advanced Statistical Process Monitoring
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