Results 21 to 30 of about 172,693 (257)
Survival Regression with Accelerated Failure Time Model in XGBoost
Journal of Computational and Graphical Statistics, 2022 Survival regression is used to estimate the relation between time-to-event and feature variables, and is important in application domains such as medicine, marketing, risk management and sales management. Nonlinear tree based machine learning algorithms as implemented in libraries such as XGBoost, scikit-learn, LightGBM, and CatBoost are often more ...
Avinash Barnwal +2 more
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Multi-threshold accelerated failure time model [PDF]
The Annals of Statistics, 2018 A two-stage procedure for simultaneously detecting multiple thresholds and achieving model selection in the segmented accelerate failure time (AFT) model is developed in this paper. In the first stage, we formulate the threshold problem as a group model selection problem so that a concave 2-norm group selection method can be applied.
Li, Jialiang, Jin, Baisuo
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Analysis of Survival Data: Challenges and Algorithm-Based Model Selection [PDF]
Journal of Clinical and Diagnostic Research, 2017 Survival data is a special form of time to event data that is often encountered while modelling risk. The classical Cox proportional hazard model, that is popularly used to analyse survival data, cannot be used for modelling risk when the proportional ...
Kaushik Sarkar +2 more
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Robust accelerated failure time regression
Computational Statistics & Data Analysis, 2011 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Isabella Locatelli +2 more
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Re: Spline‐based accelerated failure time model
Statistics in Medicine, 2022 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Mark Clements +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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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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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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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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Clinical Epidemiology and Global HealthBackground: Neonatal hypothermia remains a major contributor to morbidity and mortality in low-resource settings such as Ethiopia. Understanding how quickly affected neonates recover and what factors delay or accelerate this recovery is essential for ...
Aboma Tolessa Denta +2 more
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