Features, in this new edition, a discussion of Big Data and its implications of the design of prediction models Includes, in this new edition, new case studies, more simulations with missing "y" values, description of ShinyApp, and more Presents a practical checklist to be consulted for the development of a valid prediction model, ideal for clinical epidemiologists and biostatisticians alike
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