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Paper Abstract and Keywords
Presentation 2014-03-07 15:35
Extention of Automatic Binary Logistic Estimation model for right censored survival data
Toshio Shimokawa (Univ. of Yamanashi) IBISML2013-81
Abstract (in Japanese) (See Japanese page) 
(in English) An important theme in survival analysis is the investigation of prognosis factors that affect survival time. The tree-structured method has been applied to evaluate covariates; however, this method apparently has high dimensional interection. Tibshriani and LeBranc [11] proposed an Automatic Binary Logistic Estimation (ABLE) method for the exploration of such indices in binary outcome. ABLE is constructed using the linear combination of index functions, and regression parameters are estimated using the maximum likelihood of a logistic regression model framework, namely Automatic Proportional Hazard Estimation (APHE) model. In this paper, we extended an ABLE to the right censored survival response. In the model building procedure, the survival multivariate adaptive regression spline algorithm (LeBranc and Crowley [8]) is applied. The usefulness of APHE method was illustrated using real data in phase III clinical trials for infectious diseases and small scale simulations.
Keyword (in Japanese) (See Japanese page) 
(in English) ABLE / Proportional hazard model / MARS / CART / / / /  
Reference Info. IEICE Tech. Rep., vol. 113, no. 476, IBISML2013-81, pp. 103-108, March 2014.
Paper # IBISML2013-81 
Date of Issue 2014-02-27 (IBISML) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
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Conference Information
Committee IBISML  
Conference Date 2014-03-06 - 2014-03-07 
Place (in Japanese) (See Japanese page) 
Place (in English) Nara Women's University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Statistical mathmatics, machine learning, data mining, and other topics 
Paper Information
Registration To IBISML 
Conference Code 2014-03-IBISML 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Extention of Automatic Binary Logistic Estimation model for right censored survival data 
Sub Title (in English)  
Keyword(1) ABLE  
Keyword(2) Proportional hazard model  
Keyword(3) MARS  
Keyword(4) CART  
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1st Author's Name Toshio Shimokawa  
1st Author's Affiliation University of Yamanashi (Univ. of Yamanashi)
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Speaker Author-1 
Date Time 2014-03-07 15:35:00 
Presentation Time 25 minutes 
Registration for IBISML 
Paper # IBISML2013-81 
Volume (vol) vol.113 
Number (no) no.476 
Page pp.103-108 
#Pages 6 
Date of Issue 2014-02-27 (IBISML) 

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