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Interval-Censored Linear Quantile Regression
Taehwa Choi
, Seohyeon Park
, Hunyong Cho
,
Sangbum Choi
*
*
Corresponding author for this work
Department of Statistics
Research output
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Contribution to journal
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Article
›
peer-review
6
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Keyphrases
Interval Censoring
100%
Linear Quantile Regression
100%
Censored Quantile Regression
50%
Simulation Study
25%
Subject-specific
25%
Estimating Equation
25%
Quantile Regression
25%
AIDS/HIV
25%
Survival Analysis
25%
Real-time Data Analysis
25%
Cox Proportional Hazards Model
25%
Regression Parameters
25%
Empirical Performance
25%
Model Failure
25%
Ensemble Machine Learning
25%
Accelerated Failure Time Model
25%
Censored Survival Data
25%
Weighting Approach
25%
Local Weighting
25%
Kernel Smoothing
25%
Nonparametric Maximum Likelihood Estimator (NPMLE)
25%
Kernel Ensemble
25%
Local Kernel
25%
Poisson Random Variable
25%
Right-censored Survival Data
25%
Convex Objective Function
25%
Non-parametric Distribution
25%
Applied Statistics
25%
Generalized EM Algorithm
25%
Loss Contribution
25%
Theoretical Statistics
25%
Quantile Loss
25%
Data Methodology
25%
Mathematics
Quantile Regression
100%
Censored Data
50%
Survival Data
50%
Simulation Study
25%
Objective Function
25%
Empirical Bayes Procedure
25%
Real Data
25%
Distribution Mass
25%
Regression Parameter
25%
Time Model
25%
Failure Time
25%
Survival Analysis
25%
Cox Proportional Hazards Model
25%
Smoothing Kernel
25%
EM Algorithm
25%
Weighted Average
25%
Supplementary Material
25%
Maximum Likelihood
25%
Quantile
25%
Applied Statistics
25%