Multiple imputations and the missing censoring indicator model

DOI10.1016/j.jmva.2010.08.005zbMath1206.62162OpenAlexW2084854477MaRDI QIDQ608328

Sundarraman Subramanian

Publication date: 25 November 2010

Published in: Journal of Multivariate Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jmva.2010.08.005

zbMATH Keywords

asymptotic normalitymaximum likelihoodmissing at randomfunctional delta methodLindeberg's conditionmodel-based resampling

Mathematics Subject Classification ID

Nonparametric estimation (62G05) Censored data models (62N01) Estimation in survival analysis and censored data (62N02)

Related Items

Censored gamma regression with uncertain censoring status ⋮ Semi-parametric survival function estimators deduced from an identifying Volterra type integral equation ⋮ A SURVIVAL ANALYSIS INCORPORATING AUXILIARY INFORMATION BY A BAYESIAN GENERALIZED METHOD OF MOMENTS: APPLICATION TO PURCHASE DURATION MODELING ⋮ Asymptotically efficient estimation under semi-parametric random censorship models ⋮ Nonparametric estimation for survival data with censoring indicators missing at random ⋮ Model-based confidence bands for survival functions ⋮ Censored count data regression with missing censoring information

Cites Work

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• Survival analysis for the missing censoring indicator model using kernel density estimation techniques
• Multiple imputation and other resampling schemes for imputing missing observations
• The multiple imputations based Kaplan-Meier estimator
• The missing censoring indicator model and the smoothed bootstrap
• Asymptotic results for multiple imputation
• Asymptotic optimality of the product limit estimator
• On semiparametric random censorship models
• Nonparametric model checks for regression
• Efficient estimation from right-censored data when failure indicators are missing at random
• Finite sample properties of multiple imputation estimators.
• Survival-rate regression using kernel conditional Kaplan-Meier estimators
• 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
• Bootstrap Approximations in Model Checks for Regression
• Inference Based on Imputed Failure Times for the Proportional Hazards Model with Interval-Censored Data
• Inference and missing data
• Asymptotic Statistics
• Large-sample theory for parametric multiple imputation procedures
• Resampling Methods for Testing a Semiparametric Random Censorship Model
• 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
• Parameter estimation in regression for long-term survival rate from censored data

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