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|a Statistical Learning for Biomedical Data.
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|a Cover; Half-title; Series-title; Title; Copyright; Contents; Preface; Acknowledgments; Part I Introduction; 1 Prologue; 2 The landscape of learning machines; 3 A mangle of machines; 4 Three examples and several machines; Part II A machine toolkit; 5 Logistic regression; 6 A single decision tree; 7 Random Forests -- trees everywhere; Part III Analysis fundamentals; 8 Merely two variables; 9 More than two variables; 10 Resampling methods; 11 Error analysis and model validation; Part IV Machine strategies; 12 Ensemble methods -- let's take a vote; 13 Summary and conclusions; Appendix.
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|a A1: Software used in this bookA2: Data used in this book; References; Index.
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|a This highly motivating introduction to statistical learning machines explains underlying principles in nontechnical language, using many examples and figures.
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|a Includes bibliographical references and index.
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|a Malley, Karen G.
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|a Pajevic, Sinisa.
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|z 9780521875806
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|a Practical guides to biostatistics and epidemiology.
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