Multistate recursively imputed survival trees for time-to-event data analysis: an application to AIDS and mortality post-HIV infection data

Multistate recursively imputed survival trees for time-to-event data analysis: an application to AIDS and mortality post-HIV infection data

Abstracts Background This study aimed to introduce recursively imputed survival trees into multistate survival models (MSRIST) to analyze these types of data and to identify the prognostic factors influencing the disease progression in patients with intermediate events. The proposed method is fully...

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Bibliographic Details
Main Authors: Leili Tapak, Michael R. Kosorok, Majid Sadeghifar, Omid Hamidi
Format: Article
Language:English
Published: BMC 2018-11-01
Series:BMC Medical Research Methodology
Subjects:
HIV/AIDS
Highly active antiretroviral therapy
Random forest
Survival analysis
Recursively imputed survival trees
Cohort studies
Online Access:http://link.springer.com/article/10.1186/s12874-018-0596-5

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http://link.springer.com/article/10.1186/s12874-018-0596-5

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