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Restricted mean survival time regression model with time‐dependent covariates

In clinical or epidemiological follow‐up studies, methods based on time scale indicators such as the restricted mean survival time (RMST) have been developed to some extent. Compared with traditional hazard rate indicator system methods, the RMST is easier to interpret and does not require the propo...

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Autores principales: Zhang, Chengfeng, Huang, Baoyi, Wu, Hongji, Yuan, Hao, Hou, Yawen, Chen, Zheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9545070/
https://www.ncbi.nlm.nih.gov/pubmed/35746886
http://dx.doi.org/10.1002/sim.9495
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author Zhang, Chengfeng
Huang, Baoyi
Wu, Hongji
Yuan, Hao
Hou, Yawen
Chen, Zheng
author_facet Zhang, Chengfeng
Huang, Baoyi
Wu, Hongji
Yuan, Hao
Hou, Yawen
Chen, Zheng
author_sort Zhang, Chengfeng
collection PubMed
description In clinical or epidemiological follow‐up studies, methods based on time scale indicators such as the restricted mean survival time (RMST) have been developed to some extent. Compared with traditional hazard rate indicator system methods, the RMST is easier to interpret and does not require the proportional hazard assumption. To date, regression models based on the RMST are indirect or direct models of the RMST and baseline covariates. However, time‐dependent covariates are becoming increasingly common in follow‐up studies. Based on the inverse probability of censoring weighting (IPCW) method, we developed a regression model of the RMST and time‐dependent covariates. Through Monte Carlo simulation, we verified the estimation performance of the regression parameters of the proposed model. Compared with the time‐dependent Cox model and the fixed (baseline) covariate RMST model, the time‐dependent RMST model has a better prediction ability. Finally, an example of heart transplantation was used to verify the above conclusions.
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spelling pubmed-95450702022-10-14 Restricted mean survival time regression model with time‐dependent covariates Zhang, Chengfeng Huang, Baoyi Wu, Hongji Yuan, Hao Hou, Yawen Chen, Zheng Stat Med Research Articles In clinical or epidemiological follow‐up studies, methods based on time scale indicators such as the restricted mean survival time (RMST) have been developed to some extent. Compared with traditional hazard rate indicator system methods, the RMST is easier to interpret and does not require the proportional hazard assumption. To date, regression models based on the RMST are indirect or direct models of the RMST and baseline covariates. However, time‐dependent covariates are becoming increasingly common in follow‐up studies. Based on the inverse probability of censoring weighting (IPCW) method, we developed a regression model of the RMST and time‐dependent covariates. Through Monte Carlo simulation, we verified the estimation performance of the regression parameters of the proposed model. Compared with the time‐dependent Cox model and the fixed (baseline) covariate RMST model, the time‐dependent RMST model has a better prediction ability. Finally, an example of heart transplantation was used to verify the above conclusions. John Wiley & Sons, Inc. 2022-06-23 2022-09-20 /pmc/articles/PMC9545070/ /pubmed/35746886 http://dx.doi.org/10.1002/sim.9495 Text en © 2022 The Authors. Statistics in Medicine published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Research Articles
Zhang, Chengfeng
Huang, Baoyi
Wu, Hongji
Yuan, Hao
Hou, Yawen
Chen, Zheng
Restricted mean survival time regression model with time‐dependent covariates
title Restricted mean survival time regression model with time‐dependent covariates
title_full Restricted mean survival time regression model with time‐dependent covariates
title_fullStr Restricted mean survival time regression model with time‐dependent covariates
title_full_unstemmed Restricted mean survival time regression model with time‐dependent covariates
title_short Restricted mean survival time regression model with time‐dependent covariates
title_sort restricted mean survival time regression model with time‐dependent covariates
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9545070/
https://www.ncbi.nlm.nih.gov/pubmed/35746886
http://dx.doi.org/10.1002/sim.9495
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