Author: Heping Zhang
Edition: 2nd ed. 2010
Publisher: Springer
Binding: Hardcover
ISBN: 1441968237
Recursive Partitioning and Applications (Springer Series in Statistics)
The routes to many important outcomes including diseases and ultimately death as well as financial credit consist of multiple complex pathways containing interrelated events and conditions. Medical books Recursive Partitioning and Applications . We have historically lacked effective methodologies for identifying these pathways and their non-linear and interacting features. This book focuses on recursive partitioning strategies as a response to the challenge of pathway characterization. A highlight of the second edition is the many worked examples, most of them from epidemiology, bioinformatics, molecular genetics, physiology, social demography, banking, and marketing. The statistical issues, conceptual and computational, are not only treated in detail in the context of important scientific questions, but also an array of substantively-driven judgments are explicitly integrated in the presentation of examples Medical books Recursive Partitioning and Applications, 9781441968234. Recursive Partitioning and Applications, ISBN-13: 9781441968234, ISBN-10: 1441968237
Download link for Recursive Partitioning and Applications, Second Edition
Recursive Partitioning and Applications, ISBN-13: 9781441968234, ISBN-10: 1441968237
Recursive Partitioning and Applications SPRIV 9781441968234 09781441968234
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author burton h singer author heping zhang format paperback language english publication year 05 09 2012 series springer series in statistics subject mathematics sciences subject 2 mathematics title recursive partitioning and applications springer series in statistics author heping zhang publisher springer verlag new york inc publication date sep 05 2012 pages 276 binding paperback edition 2 nd reprint dimensions 6 10 wx 9 20 h isbn 1461426227 subject medical biostatistics brand new paperback a
Medical Book Recursive Partitioning and Applications
We have historically lacked effective methodologies for identifying these pathways and their non-linear and interacting features. This book focuses on recursive partitioning strategies as a response to the challenge of pathway characterization. A highlight of the second edition is the many worked examples, most of them from epidemiology, bioinformatics, molecular genetics, physiology, social demography, banking, and marketing. The statistical issues, conceptual and computational, are not only treated in detail in the context of important scientific questions, but also an array of substantively-driven judgments are explicitly integrated in the presentation of examples. Going considerably beyond the standard treatments of recursive partitioning that focus on pathway representations via single trees, this second edition has entirely new material devoted to forests from predictive and interpretive perspectives. For contexts where identification of factors contributing to outcomes is a central issue, both random and deterministic forest generation methods are introduced via examples in genetics and epidemiology. The trees in deterministic forests are reproducible and more easily interpretable than the components of random forests. Also new in the second edition is an extensive treatment of survival forests and post-market evaluation of treatment effectiveness.
