Nonparametric smoothed quantile difference estimation for length-biased and right-censored data

DOI10.1080/03610926.2020.1791340OpenAlexW3043607271MaRDI QIDQ5081052

Jinfeng Xu, Yutao Liu, Jian-hua Shi

Publication date: 1 June 2022

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2020.1791340

zbMATH Keywords

right-censored datalength-biased dataquantile differencesmoothing estimationbias sampling

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

• Unnamed Item
• Smoothed empirical likelihood inference for the difference of two quantiles with right censoring
• The strong representation for the nonparametric estimator of length-biased and right-censored data
• Quantile regression for right-censored and length-biased data
• Exact two-sample nonparametric test for quantile difference between two populations based on ranked set samples
• Monotone rank estimation of transformation models with length-biased and right-censored data
• Nonparametric confidence intervals for quantile intervals and quantile differences based on record statistics
• Semi-empirical likelihood confidence intervals for the differences of quantiles with missing data
• Nonparametric estimation in the presence of length bias
• A strong representation of the product-limit estimator for left truncated and right censored data
• Strong representations of the survival function estimator for truncated and censored data with applications
• Analyzing right-censored length-biased data with additive hazards model
• The nonparametric quantile estimation for length-biased and right-censored data
• Semiparametric transformation models with length-biased and right-censored data under the case-cohort design
• A note on the TJW product-limit estimator for truncated and censored data
• Asymptotic behavior of the unconditional NPMLE of the length-biased survivor function from right censored prevalent cohort data
• Efficiency of estimators for quantile differences with left truncated and right censored data
• Empirical likelihood for the difference of quantiles under censorship
• Pseudo-likelihood for case–cohort studies under length-biased sampling
• Proportional mean residual life model for right-censored length-biased data
• Nonparametric estimation for length-biased and right-censored data
• A general quantile residual life model for length‐biased right‐censored data
• Multiplicative censoring, renewal processes, deconvolution and decreasing density: Nonparametric estimation
• Length-Biased Sampling With Right Censoring
• Composite Partial Likelihood Estimation Under Length-Biased Sampling, With Application to a Prevalent Cohort Study of Dementia
• Analyzing Length-Biased Data With Semiparametric Transformation and Accelerated Failure Time Models
• Estimation of the quantiles of the duration of old age
• 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: Nonparametric smoothed quantile difference estimation for length-biased and right-censored data