Results 21 to 30 of about 519,139 (282)
Identification of a competing risks model with unknown transformations of latent failure times [PDF]
, 2005 This paper is concerned with identification of a competing risks model with unknown transformations of latent failure times. The model in this paper includes, as special cases, competing risks versions of proportional hazards, mixed proportional ...
Lee, S.
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Mathematics, 2023 A fully parametric accelerated failure time (AFT) model with a flexible, novel modified exponential Weibull baseline distribution called the extended exponential Weibull accelerated failure time (ExEW-AFT) model is proposed.
Adam Braima S. Mastor +5 more
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Journal of Research in Medical Sciences, 2020 Background: Breast cancer (BC) was the fifth cause of mortality worldwide in 2015 and second cause of mortality in Iran in 2012. This study aimed to explore factors associated with survival of patients with BC using parametric survival models.
Zeinab Iraji +3 more
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Case–Cohort Analysis with Accelerated Failure Time Model [PDF]
Biometrics, 2009 Summary In a case–cohort design, covariates are assembled only for a subcohort that is randomly selected from the entire cohort and any additional cases outside the subcohort. This design is appealing for large cohort studies of rare disease, especially when the exposures of interest are expensive to ascertain for all the subjects.
Kong, Lan, Cai, Jianwen
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Regularized Estimation for the Accelerated Failure Time Model [PDF]
Biometrics, 2009 SummaryIn the presence of high‐dimensional predictors, it is challenging to develop reliable regression models that can be used to accurately predict future outcomes. Further complications arise when the outcome of interest is an event time, which is often not fully observed due to censoring.
Cai, T., Huang, J., Tian, L.
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Regression Calibration in Semiparametric Accelerated Failure Time Models [PDF]
Biometrics, 2010 Summary In large cohort studies, it often happens that some covariates are expensive to measure and hence only measured on a validation set. On the other hand, relatively cheap but error‐prone measurements of the covariates are available for all subjects.
Yu, Menggang, Nan, Bin
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Amoud Class for Hazard-Based and Odds-Based Regression Models: Application to Oncology Studies
Axioms, 2022 The purpose of this study is to propose a novel, general, tractable, fully parametric class for hazard-based and odds-based models of survival regression for the analysis of censored lifetime data, named as the “Amoud class (AM)” of models.
Abdisalam Hassan Muse +5 more
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Alexandria Engineering Journal, 2022 The log-normal, log-logistic and Weibull distributions are commonly utilized to model survival data. Unimodal (or non-monotone) failure rate functions are modeled using the log-normal and the log-logistic families, whereas monotone failure rate functions
Abdisalam Hassan Muse +5 more
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Cogent Education, 2022 In Sub-Saharan African countries like Ethiopia, the waiting time for graduates before having their first job is very high. This study aimed at predicting the waiting time to get their first job and the effects of the associated factors.
Belete Adelo Wobse +2 more
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Interval-Censored Regression with Non-Proportional Hazards with Applications
Stats, 2023 Proportional hazards models and, in some situations, accelerated failure time models, are not suitable for analyzing data when the failure ratio between two individuals is not constant. We present a Weibull accelerated failure time model with covariables
Fábio Prataviera +4 more
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