Statistical inference based on the nonparametric maximum likelihood estimator under double-truncation

DOI10.1007/s10985-014-9297-5zbMath1322.62018OpenAlexW2085540708WikidataQ51069371 ScholiaQ51069371MaRDI QIDQ134935

Hirofumi Michimae, Yoshihiko Konno, Takeshi Emura, Yoshihiko Konno, Takeshi Emura, Hirofumi Michimae

Publication date: 8 July 2014

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

Full work available at URL: https://doi.org/10.1007/s10985-014-9297-5

zbMATH Keywords

bootstrapsurvival analysisasymptotic variancegoodness-of-fit testconfidence band

Mathematics Subject Classification ID

Related Items (14)

Weighted rank estimation for nonparametric transformation models with doubly truncated data ⋮ Regression analysis of doubly truncated data based on pseudo-observations ⋮ Truncating the exponential with a uniform distribution ⋮ Retrospective sampling of survival data based on a Poisson birth process: conditional maximum likelihood ⋮ Quantile regression for doubly truncated data ⋮ Additive time-dependent hazard model with doubly truncated data ⋮ Pseudo maximum likelihood estimation for the Cox model with doubly truncated data ⋮ Maximum likelihood estimation for a special exponential family under random double-truncation ⋮ Asymptotic inference for maximum likelihood estimators under the special exponential family with double-truncation ⋮ Likelihood-based analysis of doubly-truncated data under the location-scale and AFT model ⋮ Conditional maximum likelihood estimation for semiparametric transformation models with doubly truncated data ⋮ double.truncation ⋮ Semiparametric likelihood inference for heterogeneous survival data under double truncation based on a Poisson birth process ⋮ Pseudo MLE for semiparametric transformation model with doubly truncated data

Cites Work

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• Multivariate normal distribution approaches for dependently truncated data
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• Asymptotic theory for the frailty model
• Weak convergence and empirical processes. With applications to statistics
• Kernel density estimation with doubly truncated data
• Existence, uniqueness, and stability of generalized traveling waves in time dependent monostable equations
• Analysing bivariate survival data with interval sampling and application to cancer epidemiology
• Efficient estimation of semiparametric transformation models for counting processes
• Bootstrapping the NPMLE for doubly truncated data
• Nonparametric Methods for Doubly Truncated Data
• Semiparametric Marginal Regression Analysis for Dependent Competing Risks Under an Assumed Copula
• Empirical likelihood ratio with doubly truncated data
• Inference for multi-state models from interval-censored data

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