Accelerated failure time model

Results: 25



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1Ann Inst Stat Math:855–876 DOIs10463y Competing risks data analysis under the accelerated failure time model with missing cause of failure Ming Zheng · Renxin Lin · Wen Yu

Ann Inst Stat Math:855–876 DOIs10463y Competing risks data analysis under the accelerated failure time model with missing cause of failure Ming Zheng · Renxin Lin · Wen Yu

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Source URL: www.ism.ac.jp

Language: English - Date: 2016-08-02 06:58:14
2Statistical Methods for Clinical Trials with Treatment Switching Fang-I Chu Department of Statistics and Applied Probability University of California Santa Barbara

Statistical Methods for Clinical Trials with Treatment Switching Fang-I Chu Department of Statistics and Applied Probability University of California Santa Barbara

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Source URL: www.pstat.ucsb.edu

Language: English - Date: 2014-11-07 15:19:39
3Covariate Effects in Periodic Hazard Rate Models Ulrich P¨otter University of Bochum Universit¨atsstr., 44780 Bochum, Germany e-mail:  Kai Kopperschmidt

Covariate Effects in Periodic Hazard Rate Models Ulrich P¨otter University of Bochum Universit¨atsstr., 44780 Bochum, Germany e-mail: Kai Kopperschmidt

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Source URL: www.stat.ruhr-uni-bochum.de

Language: English - Date: 2014-02-26 08:39:03
4Joint Statistics Seminar The Hong Kong University of Science and Technology Joint Modeling of Longitudinal and Survival Data by

Joint Statistics Seminar The Hong Kong University of Science and Technology Joint Modeling of Longitudinal and Survival Data by

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Source URL: www.bm.ust.hk

Language: English - Date: 2008-11-04 21:01:55
5

PDF Document

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Source URL: www.mth.kcl.ac.uk

Language: English - Date: 2014-10-16 12:30:45
6Semi-parametric Bayesian analysis of binary responses with a continuous covariate subject to non-random missingness Frederico Z. Poleto1 , Carlos Daniel Paulino2,5 , Julio M. Singer3 , and Geert Molenberghs4 1 IME,

Semi-parametric Bayesian analysis of binary responses with a continuous covariate subject to non-random missingness Frederico Z. Poleto1 , Carlos Daniel Paulino2,5 , Julio M. Singer3 , and Geert Molenberghs4 1 IME,

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Source URL: www.statistics.gov.hk

Language: English - Date: 2013-08-22 04:39:13
7SVASTAT827UnitOutline2010.dvi

SVASTAT827UnitOutline2010.dvi

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Source URL: stat.mq.edu.au

Language: English - Date: 2014-11-05 17:22:06
8Cox Proportional-Hazards Regression for Survival Data in R An Appendix to An R Companion to Applied Regression, Second Edition John Fox & Sanford Weisberg last revision: 23 February 2011

Cox Proportional-Hazards Regression for Survival Data in R An Appendix to An R Companion to Applied Regression, Second Edition John Fox & Sanford Weisberg last revision: 23 February 2011

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Source URL: socserv.socsci.mcmaster.ca

Language: English - Date: 2011-02-23 07:54:45
9C e n t r e o f E xc e l l e n c e f o r Biosecurity Risk Anal y sis ML vs MRR: Weibull Parameter Estimation for Making Decisions

C e n t r e o f E xc e l l e n c e f o r Biosecurity Risk Anal y sis ML vs MRR: Weibull Parameter Estimation for Making Decisions

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Source URL: cebra.unimelb.edu.au

Language: English - Date: 2015-03-15 20:34:08
10SVASTAT827UnitOutline2011.dvi

SVASTAT827UnitOutline2011.dvi

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Source URL: stat.mq.edu.au

Language: English - Date: 2014-11-05 17:22:08