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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DCM als intervenierende Operation, and with the help of machine learning..Traditional efficacy analysis consisted of.discretization of continuous predictors,.simple linear regressions..Machine learning efficacy analysis consisted of cluster-analysis methods..The machine learning methods provided better sensitivity of testing, and we

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https://doi.org/10.1007/978-3-031-55440-7ted, both traditionally, and with the help of machine learning..Traditional efficacy analysis consisted of.discretization of continuous predictors,.crosstabs with chi-square statistics..Machine learning efficacy analysis consisted of binary decision-tree methods..The machine learning methods provide

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Dementia and the Advance Directiveof death were tested, both traditionally, and with the help of machine learning..Traditional efficacy analysis consisted of.one-way analyses of variance,.3 × 2 crosstabs with 3 × 2 chi-square statistics,.3 dimensional bars of treatment modalities versus outcomes..Machine learning efficacy analysis c

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History and Neurological Examination,ms on drug efficacy scores was tested, both traditionally and with the help of machine learning..Traditional efficacy analysis consisted of.discretization of continuous predictors,.3 × 2 crosstabs with 3 × 2 chi-square statistics..Machine learning efficacy analysis was composed of neural-network met

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https://doi.org/10.1007/978-3-319-75259-4ne learning..Traditional efficacy analysis consisted of.Machine learning efficacy analysis consisted of ensembled-accuracy methods..The machine learning methods provided better sensitivity of testing, and were more informative.

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