Confidence regions in Cox proportional hazards model with measurement errors and unbounded parameter set

DOI10.15559/18-VMSTA94MaRDI QIDQ1641933

Oksana Chernova, Alexander G. Kukush

Publication date: 20 June 2018

Published in: Modern Stochastics. Theory and Applications (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1804.01674

zbMATH Keywords

asymptotic normalityconfidence regionconsistent estimatormeasurement errorsCox proportional hazards modelsimultaneous estimation of baseline hazard rate and regression parameter

Mathematics Subject Classification ID

Nonparametric tolerance and confidence regions (62G15) General nonlinear regression (62J02) Estimation in survival analysis and censored data (62N02)

Related Items (3)

Confidence regions in Cox proportional hazards model with measurement errors and unbounded parameter set ⋮ Hypothesis testing in the Cox proportional hazards model with measurement errors ⋮ Goodness-of-fit test in the Cox proportional hazards model with measurement errors

Cites Work

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• Confidence regions in Cox proportional hazards model with measurement errors and unbounded parameter set
• Unbiased estimation of a nonlinear function a normal mean with application to measurement err oorf models
• An Exact Corrected Log-Likelihood Function for Cox's Proportional Hazards Model under Measurement Error and Some Extensions

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