Integrated square error of hazard rate estimation for survival data with missing censoring indicators
From MaRDI portal
Publication:2661912
DOI10.1007/s11424-021-9307-0zbMath1462.62604OpenAlexW3131559240MaRDI QIDQ2661912
Guo-Liang Fan, Yu-Ye Zou, Ri-quan Zhang
Publication date: 8 April 2021
Published in: Journal of Systems Science and Complexity (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11424-021-9307-0
Censored data models (62N01) Estimation in survival analysis and censored data (62N02) Missing data (62D10)
Cites Work
- Nonparametric estimation for survival data with censoring indicators missing at random
- Hazard function estimation with cause-of-death data missing at random
- The weighted least square based estimators with censoring indicators missing at random
- Central limit theorem for integrated square error of multivariate nonparametric density estimators
- Probability density estimation for survival data with censoring indicators missing at random
- Kernel density and hazard rate estimation for censored dependent data
- Efficient estimation from right-censored data when failure indicators are missing at random
- Moderate and large deviation principles for the hazard rate function kernel estimator under censoring
- Quantile regression and variable selection for partially linear single-index models with missing censoring indicators
- Central Limit Theorem for ISE of Kernel Density Estimators in Censored Dependent Model
- On the Strong Law of Large Numbers and Related Results for Quasi-Stationary Sequences
- Wavelet estimation of density for censored data with censoring indicator missing at random
- Product‐limit Estimators and Cox Regression with Missing Censoring Information
- Unnamed Item
- Unnamed Item
- Unnamed Item
This page was built for publication: Integrated square error of hazard rate estimation for survival data with missing censoring indicators