Quantile difference estimation with censoring indicators missing at random

Cui-Juan Kong; Han‐Ying Liang

doi:10.1007/s10985-023-09614-7

ScienceGate Book Chapters

JOURNAL ARTICLE

Quantile difference estimation with censoring indicators missing at random

Cui-Juan Kong Han‐Ying Liang

Year: 2024 Journal: Lifetime Data Analysis Vol: 30 (2)Pages: 345-382 Publisher: Springer Science+Business Media

DOI: 10.1007/s10985-023-09614-7

Get Full-Text PDF Get Analytical Report

Keywords:

Censoring (clinical trials) Empirical likelihood Quantile Estimator Mathematics Statistics Asymptotic distribution Econometrics Missing data Sample (material) Order statistic

Metrics

Cited By

3.07

FWCI (Field Weighted Citation Impact)

Refs

0.81

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Statistical Methods and Inference

Physical Sciences → Mathematics → Statistics and Probability

Statistical Distribution Estimation and Applications

Physical Sciences → Mathematics → Statistics and Probability

Bayesian Methods and Mixture Models

Physical Sciences → Computer Science → Artificial Intelligence

Quantile difference estimation with censoring indicators missing at random

Metrics

Citation History

Topics

Related Documents

Weighted composite quantile regression with censoring indicators missing at random

Estimation and inferences for varying coefficient partially nonlinear quantile models with censoring indicators missing at random

Nonparametric estimation for survival data with censoring indicators missing at random

Semiparametric estimation in hazards models with censoring indicators missing at random

Quantile regression for partially linear varying-coefficient model with censoring indicators missing at random