Sample size determination in superiority or non-inferiority clinical trials with time-to-event data under exponential, Weibull and Gompertz distributions
العنوان: | Sample size determination in superiority or non-inferiority clinical trials with time-to-event data under exponential, Weibull and Gompertz distributions |
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المؤلفون: | Dong Han, Chunquan Ou, Yawen Hou, Zheng Chen |
المصدر: | Communications in Statistics - Simulation and Computation. 52:1212-1224 |
بيانات النشر: | Informa UK Limited, 2021. |
سنة النشر: | 2021 |
مصطلحات موضوعية: | FOS: Computer and information sciences, Statistics and Probability, 021103 operations research, Exponential distribution, Gompertz function, 0211 other engineering and technologies, 02 engineering and technology, Statistics - Applications, 01 natural sciences, Exponential function, Clinical trial, 010104 statistics & probability, Non inferiority, Event data, Sample size determination, Modeling and Simulation, Statistics, Applications (stat.AP), 0101 mathematics, Weibull distribution, Mathematics |
الوصف: | To examine the effect of exponential, Weibull and Gompertz distributions on sample size determination for superiority trials (STs) or non-inferiority trials (NTs) with time-to-event data based on proportional hazard model, we present two sample size formulas for STs or NTs based on Weibull and Gompertz distributions, respectively. The formulas are compared with the current exponential formula to examine their performance. The simulation results show that the sample size formula based on the Weibull distribution is the most robust among the three formulas in STs or NTs. We suggest that recognizing the appropriate distribution in advance is beneficial for proper project planning and that assuming a Weibull distributed survival time is most advantageous in STs or NTs. |
تدمد: | 1532-4141 0361-0918 |
URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7b5611bcb3c8a8f638137bf866c6e7d1 https://doi.org/10.1080/03610918.2021.1879137 |
حقوق: | OPEN |
رقم الأكسشن: | edsair.doi.dedup.....7b5611bcb3c8a8f638137bf866c6e7d1 |
قاعدة البيانات: | OpenAIRE |
تدمد: | 15324141 03610918 |
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