Recursive partitioning in the health sciences /

Bibliographic Details
Main Author: Zhang, Heping
Other Authors: Singer, Burton
Format: Book
Language:English
Published: New York : Springer, [1999]
Series:Statistics for biology and health.
Subjects:

MARC

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300 |a xii, 226 pages :  |b illustrations ;  |c 24 cm. 
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490 1 |a Statistics for biology and health 
504 |a Includes bibliographical references (pages [211]-222) and index. 
505 2 |a Introduction -- Examples using CART -- The statistical problem -- Outline of the methodology -- A practical guide to tree construction -- The elements of tree construction -- Splitting a node -- Terminal nodes -- Download and use of software -- Logistic regression -- Logistic regression models -- A logistic regression analysis -- Classification trees for a binary response -- Node impurity -- Determination of terminal nodes -- The standard error of Rcv* -- Tree-based analysis of the Yale pregnancy outcome study -- An alternative pruning approach -- Localized cross-validation -- Comparison between tree-based and logistic regression analyses -- Missing data -- Tree stability -- Implementation -- Risk-factor analysis using tree-based stratification -- Background -- The analysis -- Analysis of censored data: examples -- Tree-based analysis for the Western Collaborative Group Study data -- Analysis of censored data: concepts and classical methods -- The basics of survival analysis -- Parametric regression for censored data -- Analysis of censored data: survival trees -- Splitting criteria -- Pruning a survival tree -- Implementation -- Survival trees for the Western Collaborative Group Study data -- Regression trees and adaptive splines for a continuous response -- Tree representation of spline model and analysis of birth weight -- Regression trees -- The profile of MARS models -- Modified MARS forward procedure -- MARS backward-deletion step -- The best knot -- Restrictions on the knot -- Smoothing adaptive splines -- Numerical examples -- Analysis of longitudinal data -- Infant growth curves -- The notation and a general model -- Mixed-effects models -- Semiparametric models -- Adaptive spline models -- Regression trees for longitudinal data -- Analysis of multiple discrete responses -- Parametric methods for binary responses -- Classification trees for multiple binary responses -- Application: analysis of BROCS data -- Polytomous and longitudinal responses -- Analysis of the BROCS data via log-linear models -- Appendix -- The script for running RTREE automatically -- The script for running RTREE manually -- The .inf file. 
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