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Published by Springer-Verlag New York Inc., 1999
ISBN 10: 0387986715 ISBN 13: 9780387986715
Language: English
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Condition: New. pp. 276 2nd Edition.
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Add to basketBuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Multiple complex pathways, characterized by interrelated events and c- ditions, represent routes to many illnesses, diseases, and ultimately death. Although there are substantial data and plausibility arguments suppo- ing many conditions as contributory components of pathways to illness and disease end points, we have, historically, lacked an e ective method- ogy for identifying the structure of the full pathways. Regression methods, with strong linearity assumptions and data-basedconstraints onthe extent and order of interaction terms, have traditionally been the strategies of choice for relating outcomes to potentially complex explanatory pathways. However, nonlinear relationships among candidate explanatory variables are a generic feature that must be dealt with in any characterization of how health outcomes come about. It is noteworthy that similar challenges arise from data analyses in Economics, Finance, Engineering, etc. Thus, the purpose of this book is to demonstrate the e ectiveness of a relatively recently developed methodology-recursive partitioning-as a response to this challenge. We also compare and contrast what is learned via rec- sive partitioning with results obtained on the same data sets using more traditional methods. This serves to highlight exactly where-and for what kinds of questions-recursive partitioning-based strategies have a decisive advantage over classical regression techniques.
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Published by Springer-Verlag New York Inc., 2012
ISBN 10: 1461426227 ISBN 13: 9781461426226
Language: English
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Add to basketPaperback. Condition: Brand New. 2nd reprint edition. 276 pages. 9.20x6.10x0.63 inches. In Stock.
Published by SPRINGER NATURE Jul 2010, 2010
ISBN 10: 1441968237 ISBN 13: 9781441968234
Language: English
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Add to basketBuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Multiple complex pathways, characterized by interrelated events and c- ditions, represent routes to many illnesses, diseases, and ultimately death. Although there are substantial data and plausibility arguments suppo- ing many conditions as contributory components of pathways to illness and disease end points, we have, historically, lacked an e ective method- ogy for identifying the structure of the full pathways. Regression methods, with strong linearity assumptions and data-basedconstraints onthe extent and order of interaction terms, have traditionally been the strategies of choice for relating outcomes to potentially complex explanatory pathways. However, nonlinear relationships among candidate explanatory variables are a generic feature that must be dealt with in any characterization of how health outcomes come about. It is noteworthy that similar challenges arise from data analyses in Economics, Finance, Engineering, etc. Thus, the purpose of this book is to demonstrate the e ectiveness of a relatively recently developed methodology-recursive partitioning-as a response to this challenge. We also compare and contrast what is learned via rec- sive partitioning with results obtained on the same data sets using more traditional methods. This serves to highlight exactly where-and for what kinds of questions-recursive partitioning-based strategies have a decisive advantage over classical regression techniques. 262 pp. Englisch.
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Integrates conceptual and computational treatment of tree representations of complex pathways to important outcomes across diverse scientific applicationsIntroduces random and alternative deterministic forests to facilitate interpretability of pathways with.
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Integrates conceptual and computational treatment of tree representations of complex pathways to important outcomes across diverse scientific applicationsIntroduces random and alternative deterministic forests to facilitate interpretability of pathways with.
Published by Springer-Verlag New York Inc., 2010
ISBN 10: 1441968237 ISBN 13: 9781441968234
Language: English
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Add to basketCondition: New. Print on Demand pp. 276 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.
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Add to basketCondition: New. PRINT ON DEMAND pp. 276.