A class of partially linear single-index survival models
DOI10.1002/cjs.5550340108zbMath1096.62098OpenAlexW2062623184MaRDI QIDQ5476453
Gemai Chen, Xuewen Lu, Peter X.-K. Song, Radhey S. Singh
Publication date: 14 July 2006
Published in: Canadian Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/cjs.5550340108
asymptotic normalitykernel regressionsurvival analysisright censored datasingle-index modelsproportional hazardlocal quasi-likelihoodsemiparametric information bound
Nonparametric regression and quantile regression (62G08) Asymptotic distribution theory in statistics (62E20) Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05) Estimation in survival analysis and censored data (62N02)
Related Items (16)
Cites Work
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- Smoothed Cox regression
- Efficient estimation of the partly linear additive Cox model
- Flexible smoothing with \(B\)-splines and penalties. With comments and a rejoinder by the authors
- Sliced Inverse Regression for Dimension Reduction
- Generalized Partially Linear Single-Index Models
- Penalized Spline Estimation for Partially Linear Single-Index Models
- Statistical models based on counting processes
- A kernel smoothed semiparametric survival model
- The Cox proportional hazards model with a partly linear relative risk function
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