Application of the Misclassification Simulation Extrapolation Procedure to Log-Logistic Accelerated Failure Time Models in Survival Analysis

Authors

Varadan Sevilimedu, Georgia Southern University, Jiann-Ping Hsu College of Public HealthFollow
Lili Yu, Georgia Southern University, Jiann-Ping Hsu College of Public HealthFollow
Hani Samawi, Georgia Southern University, Jiann-Ping Hsu College of Public HealthFollow
Haresh Rochani, Georgia Southern University, Jiann-Ping Hsu College of Public HealthFollow

Document Type

Article

Publication Date

11-30-2018

Publication Title

Journal of Statistical Theory and Practice

DOI

10.1007/s42519-018-0024-5

ISSN

1559-8616

Abstract

Misclassification of binary covariates is pervasive in survival data, leading to inaccurate parameter estimates. Despite extensive research of misclassification error in Cox proportional hazards models, it has not been adequately researched in the context of accelerated failure time models. The log-logistic distribution plays an important role in evaluating non-monotonic hazards. However, the performance of misclassification correction methods has not been explored in such scenarios. We aim to fill this gap in the literature by investigating a method involving the simulation and extrapolation algorithm, to correct for misclassification error in log-logistic AFT models and later apply this method in real survival data.

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Recommended Citation

Sevilimedu, Varadan, Lili Yu, Hani Samawi, Haresh Rochani. 2018. "Application of the Misclassification Simulation Extrapolation Procedure to Log-Logistic Accelerated Failure Time Models in Survival Analysis." Journal of Statistical Theory and Practice, 13 (24): Springer. doi: 10.1007/s42519-018-0024-5
https://digitalcommons.georgiasouthern.edu/bee-facpubs/205