Application of the misclassification simulation extrapolation procedure to log-logistic accelerated failure time models in survival analysis

DOI10.1007/s42519-018-0024-5zbMath1426.62305OpenAlexW2753695241WikidataQ128377101 ScholiaQ128377101MaRDI QIDQ2322039

Lili Yu, Varadan Sevilimedu, Hani M. Samawi, Haresh D. Rochani

Publication date: 27 August 2019

Published in: Journal of Statistical Theory and Practice (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s42519-018-0024-5

zbMATH Keywords

survival analysismisclassificationlog-logistic distributionaccelerated failure time modelsMC-simex

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Generalized linear models (logistic models) (62J12) Reliability and life testing (62N05)

Related Items (1)

Extrapolation estimation for nonparametric regression with measurement error

Uses Software

• R
• fitdistrplus

Cites Work

• Unnamed Item
• Asymptotic variance estimation for the misclassification SIMEX
• Bias correction methods for misclassified covariates in the Cox model: comparison of five correction methods by simulation and data analysis
• Simulation-Extrapolation: The Measurement Error Jackknife
• Nonparametric Estimation from Incomplete Observations
• Inference for the Proportional Hazards Model with Misclassified Discrete-Valued Covariates
• Covariate measurement errors and parameter estimation in a failure time regression model
• Auxiliary covariate data in failure time regression
• Survival Analysis
• A General Method for Dealing with Misclassification in Regression: The Misclassification SIMEX
• Measurement Error in Nonlinear Models
• A Pseudo–Partial Likelihood Method for Semiparametric Survival Regression With Covariate Errors

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