Parameter estimation in regression for long-term survival rate from censored data
DOI10.1016/S0378-3758(01)00084-2zbMath0989.62067MaRDI QIDQ5955597
Publication date: 2 July 2002
Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)
Newton-Raphson methodmartingalecounting processconditional Kaplan-Meier estimatorCox proportional hazardscumulative hazard function
Nonparametric regression and quantile regression (62G08) Asymptotic distribution theory in statistics (62E20) Applications of statistics to biology and medical sciences; meta analysis (62P10) Censored data models (62N01) Estimation in survival analysis and censored data (62N02)
Related Items (8)
Cites Work
- Cox's regression model for counting processes: A large sample study
- Strong consistency of a nonparametric estimator of the survival function with doubly censored data
- Uniform consistency of the kernel conditional Kaplan-Meier estimate
- Regression analysis for long-term survival rate
- Survival Analysis with Median Regression Models
- Statistical models based on counting processes
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