A pool-adjacent-violators type algorithm for non-parametric estimation of current status data with dependent censoring

DOI10.1007/s10985-013-9274-4zbMath1357.62291OpenAlexW2084525933WikidataQ30651076 ScholiaQ30651076MaRDI QIDQ509838

Andrew C. Titman

Publication date: 21 February 2017

Published in: Lifetime Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10985-013-9274-4

zbMATH Keywords

copulasensitivity analysisdependent censoringnonparametric estimationcurrent status data

Mathematics Subject Classification ID

Nonparametric estimation (62G05) Nonparametric tolerance and confidence regions (62G15) Nonparametric statistical resampling methods (62G09) Estimation in survival analysis and censored data (62N02)

Related Items (4)

Regression analysis of informative current status data with the semiparametric linear transformation model ⋮ Regression analysis of dependent current status data with the accelerated failure time model ⋮ Survival function estimation of current status data with dependent censoring ⋮ Regression analysis of informative current status data with the additive hazards model

Uses Software

• isotone

Cites Work

• Unnamed Item
• Nonparametric estimation of current status data with dependent censoring
• Asymptotic distributions of slope-of-greatest-convex-minorant estimators
• Nonparametric inference for competing risks current status data with continuous, discrete or grouped observation times
• An Empirical Distribution Function for Sampling with Incomplete Information
• Minimizing Separable Convex Functions Subject to Simple Chain Constraints
• Miscellanea. On nonidentifiability and noninformative censoring for current status data
• Confidence Intervals for Current Status Data

This page was built for publication: A pool-adjacent-violators type algorithm for non-parametric estimation of current status data with dependent censoring