A0850
Title: Accelerated failure time model under dependent truncated data
Authors: Jin-Jian Hsieh - Department of Mathematics, National Chung Cheng University (Taiwan) [presenting]
Abstract: The purpose is to delve into the accelerated failure time model within the framework of dependent truncation data and leverage the copula model to establish correlations within the dataset. Building upon a past work that utilized the copula-graphic method to estimate survival functions and proposed an approach for estimating correlation parameters, the methodology is further extended by introducing two distinct estimation techniques for regression parameters. The first method involves parameter evaluation through the calculation of the area between survival curves, while the second method employs the weight of survival jump in conjunction with the least squares approach to estimate regression parameters. The efficacy of these proposed estimation procedures is evaluated through simulation studies, and a comparative analysis is conducted between the two approaches. Furthermore, these methodologies are applied to two real-world datasets, providing insights into their practical applicability. Through this analysis, a deeper understanding of how these approaches can be effectively utilized in real-world scenarios is gained.
