Regression analysis of competing risks data with general missing pattern in failure types

Statistical Methodology ◽

10.1016/j.stamet.2015.09.002 ◽

2016 ◽

Vol 29 ◽

pp. 18-31 ◽

Author(s):

Anup Dewanji ◽

P.G. Sankaran ◽

Debasis Sengupta ◽

Bappa Karmakar

Keyword(s):

Regression Analysis ◽

Competing Risks ◽

Competing Risks Data ◽

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Regression analysis of competing risks data via semi-parametric additive hazard model

Statistical Methods & Applications ◽

10.1007/s10260-011-0161-4 ◽

2011 ◽

Vol 20 (3) ◽

pp. 357-381

Author(s):

Xu Zhang ◽

Haci Akcin ◽

Hyun J. Lim

Keyword(s):

Regression Analysis ◽

Competing Risks ◽

Hazard Model ◽

Competing Risks Data ◽

Additive Hazard Model

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Regression analysis of restricted mean survival time based on pseudo-observations for competing risks data

Communication in Statistics- Theory and Methods ◽

10.1080/03610926.2017.1397174 ◽

2017 ◽

Vol 47 (22) ◽

pp. 5614-5625 ◽

Author(s):

Xin Wang ◽

Xiaoming Xue ◽

Liuquan Sun

Keyword(s):

Regression Analysis ◽

Survival Time ◽

Competing Risks ◽

Mean Survival Time ◽

Restricted Mean Survival Time ◽

Competing Risks Data

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A new approach to regression analysis of censored competing-risks data

Lifetime Data Analysis ◽

10.1007/s10985-016-9378-8 ◽

2016 ◽

Vol 23 (4) ◽

pp. 605-625

Author(s):

Yuxue Jin ◽

Tze Leung Lai

Keyword(s):

Regression Analysis ◽

Competing Risks ◽

New Approach ◽

Competing Risks Data

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An EM-based semi-parametric mixture model approach to the regression analysis of competing-risks data

Statistics in Medicine ◽

10.1002/sim.1371 ◽

2003 ◽

Vol 22 (7) ◽

pp. 1097-1111 ◽

Author(s):

S. K. Ng ◽

G. J. McLachlan

Keyword(s):

Regression Analysis ◽

Mixture Model ◽

Competing Risks ◽

Mixture Model Approach ◽

Competing Risks Data ◽

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Cumulative Incidence in Competing Risks Data and Competing Risks Regression Analysis

Clinical Cancer Research ◽

10.1158/1078-0432.ccr-06-1210 ◽

2007 ◽

Vol 13 (2) ◽

pp. 559-565 ◽

Author(s):

Haesook T. Kim

Keyword(s):

Regression Analysis ◽

Competing Risks ◽

Cumulative Incidence ◽

Competing Risks Data

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Regression analysis based on conditional likelihood approach under semi-competing risks data

Lifetime Data Analysis ◽

10.1007/s10985-012-9219-3 ◽

2012 ◽

Vol 18 (3) ◽

pp. 302-320 ◽

Author(s):

Jin-Jian Hsieh ◽

Yu-Ting Huang

Keyword(s):

Regression Analysis ◽

Competing Risks ◽

Conditional Likelihood ◽

Competing Risks Data ◽

Likelihood Approach

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Semiparametric regression analysis of interval-censored competing risks data

10.1111/biom.12664 ◽

2017 ◽

Vol 73 (3) ◽

pp. 857-865 ◽

Author(s):

Lu Mao ◽

Dan-Yu Lin ◽

Donglin Zeng

Keyword(s):

Regression Analysis ◽

Competing Risks ◽

Semiparametric Regression ◽

Interval Censored ◽

Competing Risks Data

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A Mixture Model for the Regression Analysis of Competing Risks Data

Journal of the Royal Statistical Society Series C (Applied Statistics) ◽

10.2307/2347464 ◽

1985 ◽

Vol 34 (3) ◽

pp. 201 ◽

Author(s):

Martin G. Larson ◽

Gregg E. Dinse

Keyword(s):

Regression Analysis ◽

Mixture Model ◽

Competing Risks ◽

Competing Risks Data

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Marginal Regression Analysis for Semi-Competing Risks Data Under Dependent Censoring

Scandinavian Journal of Statistics ◽

10.1111/j.1467-9469.2008.00635.x ◽

2009 ◽

Vol 36 (3) ◽

pp. 481-500 ◽

Author(s):

A. ADAM DING ◽

GUANGKAI SHI ◽

WEIJING WANG ◽

JIN-JIAN HSIEH

Keyword(s):

Regression Analysis ◽

Competing Risks ◽

Dependent Censoring ◽

Marginal Regression ◽

Competing Risks Data

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On correlation rank screening for ultra-high dimensional competing risks data

Journal of Applied Statistics ◽

10.1080/02664763.2021.1884209 ◽

2021 ◽

pp. 1-17

Author(s):

Xiaolin Chen ◽

Chenguang Li ◽

Tao Zhang ◽

Zhenlong Gao

Keyword(s):

Competing Risks ◽

High Dimensional ◽

Competing Risks Data

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