The competing risks Cox model with auxiliary case covariates under weaker missing-at-random cause of failure

DOI10.1007/S10985-017-9401-8zbMath1468.62359arXiv1607.08882OpenAlexW2742507506WikidataQ38639638 ScholiaQ38639638MaRDI QIDQ725415

Daniel Nevo, Shuji Ogino, Reiko Nishihara, Molin Wang

Publication date: 1 August 2018

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

Full work available at URL: https://arxiv.org/abs/1607.08882

zbMATH Keywords

competing risksmasked cause of failuremissing-at-randomsubtype analysis

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Censored data models (62N01)

Related Items (3)

Semiparametric regression and risk prediction with competing risks data under missing cause of failure ⋮ Analysis of the time-varying Cox model for the cause-specific hazard functions with missing causes ⋮ Censored count data regression with missing censoring information

Uses Software

• SUBTYPE

Cites Work

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• Comparison between two partial likelihood approaches for the competing risks model with missing cause of failure
• Analysis of cohort studies with multivariate and partially observed disease classification data
• Multiple Imputation Methods for Estimating Regression Coefficients in the Competing Risks Model with Missing Cause of Failure
• Inference based on the EM algorithm for the competing risks model with masked causes of failure
• Bayesian Analysis of Competing Risks with Partially Masked Cause of Failure
• Semiparametric estimators for the regression coefficients in the linear transformation competing risks model with missing cause of failure
• Analysis of competing risks survival data when some failure types are missing
• The Analysis of Failure Times in the Presence of Competing Risks
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