An improved survival estimator for censored medical costs with a kernel approach

DOI10.1080/03610926.2017.1400059OpenAlexW2768381152MaRDI QIDQ5075485

Shuai Chen, Hong-Wei Zhao, Wen-Bin Lu

Publication date: 16 May 2022

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

Full work available at URL: https://doi.org/10.1080/03610926.2017.1400059

zbMATH Keywords

survival analysiskernel methodcensored datamedian cost

Mathematics Subject Classification ID

Density estimation (62G07) Applications of statistics to biology and medical sciences; meta analysis (62P10) Estimation in survival analysis and censored data (62N02)

Related Items (1)

A stable and more efficient doubly robust estimator

Cites Work

• On Estimating Medical Cost and Incremental Cost-Effectiveness Ratios with Censored Data
• Estimating marginal survival function by adjusting for dependent censoring using many co\-var\-i\-ates
• Uniform rate of strong consistency for a smooth kernel estimator of the conditional mode for censored time series
• Generalized redistribute-to-the-right algorithm: application to the analysis of censored cost data
• Median Regression with Censored Cost Data
• Estimating Mean Cost Using Auxiliary Covariates
• Estimating Medical Costs from Incomplete Follow-Up Data
• A consistent estimator for the distribution of quality adjusted survival time
• Calibration Regression of Censored Lifetime Medical Cost
• Estimating medical costs with censored data
• Nonparametric Inference for Median Costs with Censored Data

This page was built for publication: An improved survival estimator for censored medical costs with a kernel approach