Results 21 to 30 of about 23,423 (163)
Mathematical and Computational Applications, 2022 This study aims to propose a flexible, fully parametric hazard-based regression model for censored time-to-event data with crossing survival curves. We call it the accelerated hazard (AH) model.
Abdisalam Hassan Muse +3 more
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Global Bahadur Representation For NonParametric Censored Regression Quantiles and its Applications [PDF]
, 2013 This paper is concerned with the nonparametric estimation of regression quantiles of a response variable that is randomly censored. Using results on the strong uniform convergence rate of U-processes, we derive a global Bahadur representation for a ...
Linton, Oliver +2 more
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MAXIMUM LIKELIHOOD ESTIMATION OF THE KUMARASWAMY MARSHAL-OLKIN LINDELY -LOMAX DISTRIBUTION FROM TYPE II CENSORED SAMPLES [PDF]
Maǧallaẗ Al-Buḥūṯ Al-Mālīyyaẗ wa Al-TiğāriyyaẗThis paper introduces and studies the Kumaraswamy Marshall–Olkin Lindley–Lomax (KMOLL) distribution, a new and flexible four-parameter lifetime model capable of capturing a variety of hazard rate shapes, including increasing, decreasing, bathtub, and ...
أحمد أبو المعاطي +1 more
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Goodness-of-fit criteria for survival data [PDF]
, 2004 The definition of an appropriate measure for goodness-of-fit in case of survival data comparable to R^2 in linear regression is difficult due to censored observations.
Müller, Martina, Müller, M.
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ANALISIS SURVIVAL DENGAN COX PROPORTIONAL HAZARD PADA KASUS DEMAM TIFOID
Majalah Ilmiah Matematika dan Statistika, 2022 A common problem found in survival data is the presence of censored data. The length of hospitalization of Typhoid fever patients until declared cured is one of example of this data. Here, we use Cox regression model to analysis this data.
Nurul Azizah Baisaku +2 more
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Semiparametric linear regression with censored data and stochastic regressors [PDF]
, 1994 We propose three new estimation procedures in the linear regression model with randomly-right censored data when the distribution function of the error term is unspecified, regressors are stochastic and the distribution function of the censoring variable
Mora, Juan
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ICBoost: An XGBoost-Based Unbiased Transformed Algorithm for Survival Regression
IEEE AccessPrediction models for disease onset are critical in biomedical research and survival analysis. With machine learning methods increasingly being used to handle survival data with censoring, unbiased transformation theory offers an alternative method for ...
Jingyi Zhang +3 more
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Survival analysis of A.C. machines in the diamond industry using the Kaplan-Meier estimator
MATEC Web of Conferences, 2017 The article deals with the survival analysis of a.c. machines operating under the conditions of the underground mine “Mir” (Yakutia). The estimation of their survival is carried out using the Kaplan-Meier estimator.
Shevchuk Vladislav A. +2 more
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Advanced Joint Survival Models for Evaluating Treatment Efficacy
Proceedings of the International Conference on Applied Innovations in ITThis study proposes a joint modelling framework for evaluating treatment efficacy in AIDS by integrating longitudinal and survival data. The approach addresses a key limitation in biomedical analysis by incorporating left-censored covariates into a ...
Thaer Hashim Abdulmuttaleb
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Journal of Mathematics, 2022 This article investigates a survival analysis under randomly censored mortality distribution. From the perspective of frequentist, we derive the point estimations through the method of maximum likelihood estimation.
Rashad M. EL-Sagheer +3 more
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