Results 11 to 20 of about 18,981 (120)
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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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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Estimating Dynamic Signals From Trial Data With Censored Values
Computational Psychiatry, 2017 Censored data occur commonly in trial-structured behavioral experiments and many other forms of longitudinal data. They can lead to severe bias and reduction of statistical power in subsequent analyses.
Ali Yousefi +4 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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Weighted Empirical Likelihood for Accelerated Life Model with Various Types of Censored Data
StatsIn analysis of survival data, the Accelerated Life Model (ALM) is one of the widely used semiparametric models, and we often encounter various types of censored survival data, such as right censored data, doubly censored data, interval censored data ...
Jian-Jian Ren, Yiming Lyu
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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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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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Estimation of stochastic traffic capacity using extreme value theory and censoring: A case study in Salem, New Hampshire [PDF]
Archives of Transport, 2018 In this work, we introduce a method of estimating stochastic freeway capacity using elements of both extreme value theory and survival analysis. First, we define capacity data, or estimates of the capacity of the roadway, as the daily maximum flow values.
Eric M. LAFLAMME, Paul J. OSSENBRUGGEN
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Julius Kruopis – the pioneer of applied statistics in Lithuania
Lithuanian Journal of Statistics, 2023 Julius Kruopis was born on 21.02.1941 in Utena district. In 1963 he graduated from Vilnius University, Faculty of Physics and Mathematics. In 1964–1966 he worked as a trainee lecturer at the Department of Probability Theory and Number Theory of the ...
Vilijandas Bagdonavičius +3 more
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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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