The multiple imputations based Kaplan-Meier estimator

DOI10.1016/j.spl.2009.05.021zbMath1170.62316OpenAlexW1984904865MaRDI QIDQ842953

Sundarraman Subramanian

Publication date: 28 September 2009

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.spl.2009.05.021

Mathematics Subject Classification ID

Related Items (5)

Multiple imputations and the missing censoring indicator model ⋮ Nonparametric estimation for survival data with censoring indicators missing at random ⋮ Model-based confidence bands for survival functions ⋮ Two-sample location-scale estimation from semiparametric random censorship models ⋮ Doubly robust semiparametric estimation for the missing censoring indicator model

Cites Work

• Unnamed Item
• Unnamed Item
• Survival analysis for the missing censoring indicator model using kernel density estimation techniques
• Semiparametric left truncation and right censorship models with missing censoring indicators
• On semiparametric random censorship models
• Efficient estimation from right-censored data when failure indicators are missing at random
• Semiparametric theory and missing data.
• A survey of product-integration with a view toward application in survival analysis
• Multiple Imputation Methods for Estimating Regression Coefficients in the Competing Risks Model with Missing Cause of Failure
• Inference Based on Imputed Failure Times for the Proportional Hazards Model with Interval-Censored Data
• Asymptotic Statistics
• Large-sample theory for parametric multiple imputation procedures
• Multiple imputation methods for testing treatment differences in survival distributions with missing cause of failure
• Asymptotically efficient estimation of a survival function in the missing censoring indicator model
• Bootstrap Approximations in Model Checks for Binary Data

This page was built for publication: The multiple imputations based Kaplan-Meier estimator