Accelerated failure-time model with weighted least-squares estimation: application on survival of HIV positives

Abstract Background Survival analysis is the most appropriate method of analysis for time-to-event data. The classical accelerated failure-time model is a more powerful and interpretable model than the Cox proportional hazards model, provided that model imposed distribution and homoscedasticity assu...

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Bibliographic Details

Published in:	Archives of Public Health
Main Authors:	Yesuf Abdela Mustefa, Ding-Geng Chen
Format:	Article
Language:	English
Published:	BMC 2021-05-01
Subjects:	Survival data analysis Accelerated failure-time Cox proportional-hazards regression Weighted least-squares estimation Heteroscedasticity
Online Access:	https://doi.org/10.1186/s13690-021-00617-0