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Titlebook: Efficacy Analysis in Clinical Trials an Update; Efficacy Analysis in Ton J. Cleophas,Aeilko H. Zwinderman Textbook 2019 Springer Nature Swi

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樓主: 富裕
31#
發(fā)表于 2025-3-27 00:35:55 | 只看該作者
Alpha-Synuclein in Cerebrospinal Fluidlp of machine learning..Traditional efficacy analysis consisted of.simple linear regressions,.multiple linear regressions,.Bonferroni’s adjustments..Machine learning efficacy analysis consisted of gamma-distribution methods..The machine learning methods provided better sensitivity of testing, and we
32#
發(fā)表于 2025-3-27 03:27:03 | 只看該作者
33#
發(fā)表于 2025-3-27 06:47:15 | 只看該作者
34#
發(fā)表于 2025-3-27 12:32:20 | 只看該作者
35#
發(fā)表于 2025-3-27 14:01:27 | 只看該作者
A Shared (Cost) Burden (Pillar Three), and with the help of machine learning..Traditional efficacy analysis was consisted of.Machine learning efficacy analysis consisted of ratio-statistic methods..The machine learning methods provided better sensitivity of testing, and were more informative.
36#
發(fā)表于 2025-3-27 20:34:00 | 只看該作者
https://doi.org/10.1007/978-3-540-78809-6achine learning..Traditional efficacy analysis consisted of.Machine learning efficacy analysis consisted of complex-samples methods..The machine learning methods provided better sensitivity of testing, and were more informative.
37#
發(fā)表于 2025-3-28 00:21:45 | 只看該作者
https://doi.org/10.1007/978-1-4615-6805-6d with the help of machine learning..Traditional efficacy analysis was composed of.Poisson statistics,.z-tests..Machine learning efficacy analysis was composed of evolutionary-operation methods..The machine learning methods provided better sensitivity of testing, and were more informative.
38#
發(fā)表于 2025-3-28 04:30:06 | 只看該作者
Daria Smirnova,Tatiana Smirnova,Paul Cummingnalysis was composed of.discretization of continuous predictors,.three dimensional bars of effects versus outcome,.crosstabs with chi-square statistics..Machine learning efficacy analysis was composed of high-risk-bin methods..The machine learning methods provided better sensitivity of testing, and were more informative.
39#
發(fā)表于 2025-3-28 10:01:08 | 只看該作者
40#
發(fā)表于 2025-3-28 12:03:11 | 只看該作者
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