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Recursive Partitioning and Applications
Zhang, Heping; Singer, Burton H.
€ 144.07
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Description for Recursive Partitioning and Applications
Hardback. 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. This book focuses on recursive partitioning strategies as a response to the challenge of pathway characterization. Series: Springer Series in Statistics. Num Pages: 276 pages, biography. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 17. Weight in Grams: 1250.
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 ... Read more
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 ... Read more
Product Details
Format
Hardback
Publication date
2010
Publisher
Springer-Verlag New York Inc. United States
Number of pages
276
Condition
New
Series
Springer Series in Statistics
Number of Pages
262
Place of Publication
New York, NY, United States
ISBN
9781441968234
SKU
V9781441968234
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About Zhang, Heping; Singer, Burton H.
Heping Zhang is Professor of Public Health, Statistics, and Child Study, and director of the Collaborative Center for Statistics in Science, at Yale University. He is a Fellow of the American Statistical Association and the Institute of Mathematical Statistics, a Myrto Lefkopoulou Distinguished Lecturer Awarded by Harvard School of Public Health, and a Medallion lecturer selected by the Institute of ... Read more
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