Misclassification Simulation Extrapolation in survival analysis with AFT model
Document Type
Presentation
Presentation Date
6-2019
Abstract or Description
The correct classification of variables is related to the accuracy of statistical model parameter estimation. The well know existing deviation correction method is Misclassification Simulation Extrapolation (MC-SIMEX) procedure. Survival analysis is the main part of time to event analysis and including Cox Proportional-Hazards model (COX model) and Accelerated Failure Time model (AFT model) two main aspects. We found that the COX models are well explored. However, bias-correction in AFT models with MC-SIMEX mothed still need be investigated, since some of the results of bias-correction are not well accepted. In this study, we use non-parametric extrapolation function instead of linear extrapolation function within AFT model to help us correct bias in AFT model with misclassification. In addition, we evaluated the performance of a modified version of the MC-SIMEX in non-parametric extrapolation function within AFT model.
Sponsorship/Conference/Institution
ICSA symposium
Location
Raleigh, NC
Recommended Citation
Liu, Congjian, Lili Yu.
2019.
"Misclassification Simulation Extrapolation in survival analysis with AFT model."
Department of Biostatistics, Epidemiology, and Environmental Health Sciences Faculty Presentations.
Presentation 311.
https://digitalcommons.georgiasouthern.edu/bee-facpres/311
Additional Information
Georgia Southern University faculty member, Lili Yu co-presented Misclassification Simulation Extrapolation in survival analysis with AFT model in the ICSA symposium, June, 2019.
Program