Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Hoora Moradian"'
Publikováno v:
Death Studies. :1-9
The growing use of digitized mental health applications requires new reliable early screening tools to identify user suicide risk. We used a lexicon-based random forest machine learning algorithm to predict suicide ideation scores from 714 online com
Publikováno v:
Canadian Journal of Statistics. 50:533-548
Time-varying covariates are often available in survival studies and estimation of the hazard function needs to be updated as new information becomes available. In this paper, we investigate several different easy-to-implement ways that random forests
Publikováno v:
Statistical Methods in Medical Research. 28:445-461
Tree-based methods are very powerful and popular tools for analysing survival data with right-censoring. The existing methods assume that the true time-to-event and the censoring times are independent given the covariates. We propose different ways t
Publikováno v:
Lifetime Data Analysis. 23:671-691
The log-rank test is used as the split function in many commonly used survival trees and forests algorithms. However, the log-rank test may have a significant loss of power in some circumstances, especially when the hazard functions or when the survi
Supplemental Material for Survival forests for data with dependent censoring by Hoora Moradian, Denis Larocque and François Bellavance in Statistical Methods in Medical Research
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5ced3d98d4322451c26f3935343c656b
Publikováno v:
Lifetime data analysis. 23(4)
The log-rank test is used as the split function in many commonly used survival trees and forests algorithms. However, the log-rank test may have a significant loss of power in some circumstances, especially when the hazard functions or when the survi