| Tag |
First Indicator |
Second Indicator |
Subfields |
| LEADER |
00000cam a2200000 a 4500 |
| 001 |
in00004485721 |
| 005 |
20191203081754.0 |
| 008 |
980924s1999 nyua b 001 0 eng |
| 010 |
|
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|a 98044699
|
| 020 |
|
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|a 0387986715 (acid-free paper)
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| 035 |
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|a (OCoLC)39985566
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| 035 |
|
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|9 AAH7870MS
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| 035 |
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|z (UtOrBLW)26783
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| 035 |
|
|
|a 40756
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| 040 |
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|a DLC
|c DLC
|d OHX
|d UtOrBLW
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| 049 |
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|a TMVM
|c 1
|
| 050 |
0 |
0 |
|a R853.S7
|b Z48 1999
|
| 072 |
|
7 |
|a R
|2 lcco
|
| 082 |
0 |
0 |
|a 610.7/27
|2 21
|
| 096 |
|
|
|a WA 950
|b Z63r 1999
|
| 100 |
1 |
|
|a Zhang, Heping.
|
| 245 |
1 |
0 |
|a Recursive partitioning in the health sciences /
|c Heping Zhang, Burton Singer.
|
| 264 |
|
1 |
|a New York :
|b Springer,
|c [1999]
|
| 264 |
|
4 |
|c ©1999
|
| 300 |
|
|
|a xii, 226 pages :
|b illustrations ;
|c 24 cm.
|
| 336 |
|
|
|a text
|2 rdacontent
|b txt
|
| 337 |
|
|
|a unmediated
|2 rdamedia
|
| 338 |
|
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|a volume
|2 rdacarrier
|b nc
|
| 490 |
1 |
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|a Statistics for biology and health
|
| 504 |
|
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|a Includes bibliographical references (pages [211]-222) and index.
|
| 505 |
2 |
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|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.
|
| 650 |
|
2 |
|a Regression Analysis.
|
| 650 |
|
2 |
|a Analysis of Variance.
|
| 650 |
|
2 |
|a Statistics, Nonparametric.
|
| 700 |
1 |
|
|a Singer, Burton.
|
| 830 |
|
0 |
|a Statistics for biology and health.
|
| 999 |
|
|
|a MARS
|
| 999 |
f |
f |
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|i 6855e068-faed-3248-b1a2-110cf9355408
|t 0
|
| 952 |
f |
f |
|p ric
|a Texas A&M University
|b Rellis Campus
|c Joint Library Facility
|d Remote Storage
|t 0
|e WA 950 Z63r 1999
|h National Library of Medicine classification
|i unmediated -- volume
|m 3238901663075
|
| 998 |
f |
f |
|a WA 950 Z63r 1999
|t 0
|l Remote Storage
|