Zobrazeno 1 - 10
of 155
pro vyhledávání: '"Survival data analysis"'
Publikováno v:
Current Oncology, Vol 30, Iss 4, Pp 3964-3973 (2023)
A platform trial is a trial involving an innovative adaptive design with a single master protocol to efficiently evaluate multiple interventions. It offers flexible features such as dropping interventions for futility and adding new interventions to
Externí odkaz:
https://doaj.org/article/33fdd38bef8f4634b329a51404cc2481
Publikováno v:
BMC Women's Health, Vol 23, Iss 1, Pp 1-14 (2023)
Abstract Background Cervical cancer is the 4th most common cancer in women worldwide. as well as the 4th most common cause of cancer-related death. The main objective of this study was to identify factors that affect the survival time of outpatients
Externí odkaz:
https://doaj.org/article/75f773b5115d4bd49878f908d65866a4
Publikováno v:
BMC Nutrition, Vol 8, Iss 1, Pp 1-10 (2022)
Abstract Introduction Duration of breastfeeding is the length of the time that infants who were initially breastfed continue to receive breast milk until weaning. The duration of breastfeeding is important for a child's health, growth, and developmen
Externí odkaz:
https://doaj.org/article/641470470d504023a42896fae985b2f6
Publikováno v:
Journal of Big Data, Vol 8, Iss 1, Pp 1-18 (2021)
Abstract Heart failure is a failure of the heart to pump blood with normal efficiency and a globally growing public health issue with a high death rate all over the world, including Ethiopia. The goal of this study was to identify factors affecting t
Externí odkaz:
https://doaj.org/article/74fdafbf008b4765a335f2b278a90d54
Publikováno v:
Frontiers in Oncology, Vol 12 (2022)
Externí odkaz:
https://doaj.org/article/595bad7ad5f54720b5aee5e12346297d
Autor:
Heba S. Mohammed, Zubair Ahmad, Alanazi Talal Abdulrahman, Saima K. Khosa, E. H. Hafez, M. M. Abd El-Raouf, Marwa M. Mohie El-Din
Publikováno v:
AIMS Mathematics, Vol 6, Iss 8, Pp 9262-9276 (2021)
In data science, it is frequent that new and sophisticated computational methods and tools are used to build predictive models to perform time to event data analysis. Such predictive models based on previously collected data from patients can support
Externí odkaz:
https://doaj.org/article/03498b83370045aa8d223f3314be53ac
Autor:
Yesuf Abdela Mustefa, Ding-Geng Chen
Publikováno v:
Archives of Public Health, Vol 79, Iss 1, Pp 1-7 (2021)
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 mo
Externí odkaz:
https://doaj.org/article/b31cd37bc90f406eb85fbca64ab33cb7
Akademický článek
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Akademický článek
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Autor:
Gillespie, Brenda W.1 bgillesp@umich.edu
Publikováno v:
International Statistical Review. Apr2015, Vol. 83 Issue 1, p167-168. 2p.