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  • Search: subject:"Randomly censored data"
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Randomly censored data 4 Case study in cancer 1 Composite quantile regression 1 Dirichlet process 1 Kaplan–Meier estimator 1 LAD-LASSO 1 LASSO 1 Linear regression 1 Numerical methods 1 Oracle property 1 Peterson’s formula 1 Subsurvival function 1 Variable selection 1 competing risks 1 goodness-of-fit 1 maximum likelihood estimation 1 net and crude lifetimes 1 semi-parametric models 1
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Jiang, Rong 2 Qian, Weimin 2 Zhou, Zhangong 2 Crown, John 1 Peña, Alexis 1 Reineke, David 1 Romeo, José 1 Salinas, Victor 1
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Computational Statistics 1 Journal of Applied Statistics 1 Metrika 1 Statistics & Probability Letters 1
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RePEc 4
Showing 1 - 4 of 4
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LAD variable selection for linear models with randomly censored data
Zhou, Zhangong; Jiang, Rong; Qian, Weimin - In: Metrika 76 (2013) 2, pp. 287-300
The least absolute deviations (LAD) variable selection for linear models with randomly censored data is studied through …
Persistent link: https://www.econbiz.de/10010846093
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Variable selection and coefficient estimation via composite quantile regression with randomly censored data
Jiang, Rong; Qian, Weimin; Zhou, Zhangong - In: Statistics & Probability Letters 82 (2012) 2, pp. 308-317
Composite quantile regression with randomly censored data is studied. Moreover, adaptive LASSO methods for composite … quantile regression with randomly censored data are proposed. The consistency, asymptotic normality and oracle property of the …
Persistent link: https://www.econbiz.de/10010576151
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On Bayesian estimation of a survival curve: comparative study and examples
Salinas, Victor; Romeo, José; Peña, Alexis - In: Computational Statistics 25 (2010) 3, pp. 375-389
Persistent link: https://www.econbiz.de/10008456124
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Estimation of Hazard, Density and Survivor Functions for Randomly Censored Data
Reineke, David; Crown, John - In: Journal of Applied Statistics 31 (2004) 10, pp. 1211-1225
Maximum likelihood estimation and goodness-of-fit techniques are used within a competing risks framework to obtain maximum likelihood estimates of hazard, density, and survivor functions for randomly right-censored variables. Goodness-of- fit techniques are used to fit distributions to the crude...
Persistent link: https://www.econbiz.de/10005458155
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