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Titlebook: Recursive Partitioning in the Health Sciences; Heping Zhang,Burton Singer Book 19991st edition Springer Science+Business Media New York 19

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书目名称Recursive Partitioning in the Health Sciences
编辑Heping Zhang,Burton Singer
视频video
丛书名称Statistics for Biology and Health
图书封面Titlebook: Recursive Partitioning in the Health Sciences;  Heping Zhang,Burton Singer Book 19991st edition Springer Science+Business Media New York 19
描述Multiple complex pathways, characterized by interrelated events and con­ ditions, represent routes to many illnesses, diseases, and ultimately death. Although there are substantial data and plausibility arguments supporting many conditions as contributory components of pathways to illness and disease end points, we have, historically, lacked an effective methodology for identifying the structure of the full pathways. Regression methods, with strong linearity assumptions and data-based constraints on the extent and order of interaction terms, have traditionally been the strategies of choice for relating outcomes to potentially complex explanatory pathways. How­ ever, nonlinear relationships among candidate explanatory variables are a generic feature that must be dealt with in any characterization of how health outcomes come about. Thus, the purpose of this book is to demon­ strate the effectiveness of a relatively recently developed methodology­ recursive partitioning-as a response to this challenge. We also compare and contrast what is learned via recursive partitioning with results ob­ tained on the same data sets using more traditional methods. This serves to highlight exactly wh
出版日期Book 19991st edition
关键词Computerassistierte Detektion; Factor analysis; Logistic Regression; Radiologieinformationssystem; Recur
版次1
doihttps://doi.org/10.1007/978-1-4757-3027-2
isbn_ebook978-1-4757-3027-2Series ISSN 1431-8776 Series E-ISSN 2197-5671
issn_series 1431-8776
copyrightSpringer Science+Business Media New York 1999
The information of publication is updating

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https://doi.org/10.1007/978-1-4757-3027-2Computerassistierte Detektion; Factor analysis; Logistic Regression; Radiologieinformationssystem; Recur
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A Practical Guide to Tree Construction, risk of preterm deliveries? Particular emphasis is placed on the interaction between scientific judgment by investigators and the production of informative intermediate-stage computer output that facilitates the generation of the most sensible recursive partitioning trees.
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Risk-Factor Analysis Using Tree-Based Stratification,sease outcome, controlling for another set of potential confounders. In this chapter, we illustrate how to apply the tree-based method in this regard. The discussion is mostly adopted from Zhang and Bracken (1996).
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Analysis of Censored Data: Concepts and Classical Methods,Before presenting the methods of survival trees, we should be aware of the methodology in place that is commonly used to analyze censored survival data. It is strategically wise to understand the data and answer scientific questions by different methods and from different perspectives.
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