Semiparametric Quantile Regression Analysis of Right‐censored and Length‐biased Failure Time Data with Partially Linear Varying Effects
DOI10.1111/sjos.12221zbMath1373.62152OpenAlexW2302958964MaRDI QIDQ2835301
Yong Zhou, Jianguo Sun, Yeqian Liu, Xue-rong Chen
Publication date: 2 December 2016
Published in: Scandinavian Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1111/sjos.12221
Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) Censored data models (62N01)
Related Items (1)
Cites Work
- Unnamed Item
- Cox's regression model for counting processes: A large sample study
- Bootstrap consistency for general semiparametric \(M\)-estimation
- Quantile regression for right-censored and length-biased data
- Profile likelihood inferences on semiparametric varying-coefficient partially linear models
- Conditional growth charts. (With discussion and rejoinder)
- Bootstrap methods: another look at the jackknife
- Generalized likelihood ratio statistics and Wilks phenomenon
- Quantile regression under random censoring.
- New efficient estimation and variable selection methods for semiparametric varying-coefficient partially linear models
- The statistical analysis of interval-censored failure time data.
- Nonparametric estimation under length-biased sampling and type I censoring: A moment based approach
- Adaptive semi-varying coefficient model selection
- Buckley-James-Type Estimator with Right-Censored and Length-Biased Data
- Linear or Nonlinear? Automatic Structure Discovery for Partially Linear Models
- Nonparametric estimation for length-biased and right-censored data
- Pseudo-partial likelihood for proportional hazards models with biased-sampling data
- Statistical Methods for Analyzing Right-Censored Length-Biased Data under Cox Model
- Partially Linear Hazard Regression with Varying Coefficients for Multivariate Survival Data
- Hazards regression analysis for length-biased data
- Censored Data and the Bootstrap
- Age-Specific Incidence and Prevalence: A Statistical Perspective
- Survival Analysis with Median Regression Models
- Analyzing Length-Biased Data With Semiparametric Transformation and Accelerated Failure Time Models
- A formal test for the stationarity of the incidence rate using data from a prevalent cohort study with follow-up
This page was built for publication: Semiparametric Quantile Regression Analysis of Right‐censored and Length‐biased Failure Time Data with Partially Linear Varying Effects