Estimating marginal survival function by adjusting for dependent censoring using many co\-var\-i\-ates

DOI10.1214/009053604000000508zbMath1047.62092arXivmath/0409180OpenAlexW2120348567MaRDI QIDQ1879964

Donglin Zeng

Publication date: 15 September 2004

Published in: The Annals of Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/math/0409180

zbMATH Keywords

dependent censoringsemiparametric efficiencydouble robustness

Mathematics Subject Classification ID

Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20) Censored data models (62N01) Estimation in survival analysis and censored data (62N02)

Related Items (14)

Generalized Link-Based Additive Survival Models with Informative Censoring ⋮ Likelihood approach for marginal proportional hazards regression in the presence of dependent censoring ⋮ Sieve maximum likelihood estimation for the proportional hazards model under informative censoring ⋮ An improved survival estimator for censored medical costs with a kernel approach ⋮ On the study of extremes with dependent random right-censoring ⋮ A unified study of nonparametric inference for monotone functions ⋮ Double-slicing assisted sufficient dimension reduction for high-dimensional censored data ⋮ On sufficient dimension reduction for proportional censorship model with covariates ⋮ A note on sufficient dimension reduction ⋮ New approaches to model-free dimension reduction for bivariate regression ⋮ Addressing issues associated with evaluating prediction models for survival endpoints based on the concordance statistic ⋮ Discussion of “Penalized Spline of Propensity Methods for Treatment Comparison” by Zhou, Elliott, and Little ⋮ Estimating Mean Cost Using Auxiliary Covariates ⋮ Inference on Marshall-Olkin bivariate exponential in the presence of dependent left censoring

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• Cox's regression model for counting processes: A large sample study
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• Local Likelihood Estimation
• Survey Nonresponse Adjustments for Estimates of Means
• Semiparametric regression estimation in the presence of dependent censoring
• Inference and missing data
• Estimation of the failure time distribution in the presence of informative censoring

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