Estimating a survival function with incomplete cause-of-death data

DOI10.1016/0047-259X(91)90098-MzbMath0741.62038OpenAlexW2060482530MaRDI QIDQ1182758

Shaw-Hwa Lo

Publication date: 28 June 1992

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

Full work available at URL: https://doi.org/10.1016/0047-259x(91)90098-m

zbMATH Keywords

Gaussian processesstrong consistencycovariance structuresrandom censorship modelnonparametric maximum likelihood approachself-consistency approachself-consistent estimatorssurvival experimentuncertainty in the cause of death assessments

Mathematics Subject Classification ID

Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05)

Related Items (19)

On Competing Risks with Masked Failures ⋮ Asymptotically efficient estimation of a survival function in the missing censoring indicator model ⋮ Statistical inference for right-censored data with nonignorable missing censoring indicators ⋮ Nonparametric estimation for survival data with censoring indicators missing at random ⋮ Proportional hazards model for competing risks data with missing cause of failure ⋮ Hazard function estimation with cause-of-death data missing at random ⋮ Semiparametric inference of competing risks data with additive hazards and missing cause of failure under MCAR or MAR assumptions ⋮ Efficient estimation of regression coefficients and baseline hazard under proportionality of conditional hazards ⋮ Regression analysis of competing risks data with general missing pattern in failure types ⋮ Statistical inference for masked data ⋮ Estimation and confidence bands of a conditional survival function with censoring indicators missing at random ⋮ Additive hazards regression with censoring indicators missing at random ⋮ Survival analysis for the missing censoring indicator model using kernel density estimation techniques ⋮ Nonparametric estimation of bivariate survivor function under masked causes of failure ⋮ Probability density estimation for survival data with censoring indicators missing at random ⋮ Efficient estimation from right-censored data when failure indicators are missing at random ⋮ Linear regression analysis of survival data with missing censoring indicators ⋮ Regression analysis of right-censored failure time data with missing censoring indicators ⋮ Current status data with two competing risks and missing failure types: a parametric approach

Cites Work

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• Some representations of the nonparametric maximum likelihood estimators with truncated data
• A functional law of the iterated logarithm for empirical distribution functions of weakly dependent random variables
• The product-limit estimator and the bootstrap: Some asymptotic representations
• Nonparametric Estimation from Incomplete Observations
• Nonparametric Prevalence and Mortality Estimators for Animal Experiments With Incomplete Cause-of-Death Data
• General Right Censoring and Its Impact on the Analysis of Survival Data

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