Titlebook: Machine Learning in Medicine; Part Three Ton J. Cleophas,Aeilko H. Zwinderman Textbook 2013 Springer Science + Business Media Dordrecht 201

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Multiple Endpoints,Multiple endpoints is a multiple testing problem and is very common when analyzing clinical data.

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Exact P-Values and Their Interpretation,In marketing and business research the 5 % cut-off p-value has been largely abandoned, and replaced with exact p-values used as criterion for making decisions on the risk men are willing to take.

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Probit Regression,The term multivariate analysis indicates the analysis of a study with multiple outcome variables. No standard method for multiple binary outcome variables is available, while in clinical research, often multiple events/outcomes are the outcome of a study.

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Over-Dispersion,Over-dispersion depicts the phenomenon that the spread in the data is wider than compatible with Gaussian modeling. The phenomenon may occur both with continuous and discrete data, although more commonly with discrete data.

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Runs Test,R-square values are often used to test the appropriateness of diagnostic models.

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Decision Trees,Decision trees are widely used in econo-/sociometry for decision analysis of real world problems. It is little used in clinical research.