Results 21 to 30 of about 220,037 (330)
Estimating Hazard Function and Survival Analysis of Tuberculosis Patients in Erbil city
Tikrit Journal of Administrative and Economic Sciences, 2021 The study aimed to estimate the effects of prognostic factors on tuberculosis (TB) survival. Two models have been studied (Logistic model and Cox regression models) in survival analysis.
Kurdistan Ibrahim Mawlood +1 more
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Understanding survival analysis: Kaplan-Meier estimate
International Journal of Ayurveda Research, 2010 Kaplan-Meier estimate is one of the best options to be used to measure the fraction of subjects living for a certain amount of time after treatment. In clinical trials or community trials, the effect of an intervention is assessed by measuring the number of subjects survived or saved after that intervention over a period of time. The time starting from
Goel, Manish Kumar +2 more
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Private and Collaborative Kaplan-Meier Estimators
Proceedings of the 23rd Workshop on Privacy in the Electronic Society, 2023 Kaplan-Meier estimators are essential tools in survival analysis, capturing the survival behavior of a cohort. Their accuracy improves with large, diverse datasets, encouraging data holders to collaborate for more precise estimations. However, these datasets often contain sensitive individual information, necessitating stringent data protection ...
Shadi Rahimian +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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Frontiers in Cell and Developmental Biology, 2021 Background: The tumor microenvironment (TME) mainly comprises tumor cells and tumor-infiltrating immune cells mixed with stromal components. Latestresearch hasdisplayed that tumor immune cell infiltration (ICI) is associated with the clinical outcome of ...
Lei Fan, Jingtao Ru, Tao Liu, Chao Ma
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Comparison of nonparametric estimators versus parametric for reliability function
Ingeniería Investigación y Desarrollo, 2015 One of the main objectives of the area of realiability is to estimate the function of reliability, where traditionally are used non parametric estimators, being more efficient in sample of big sizes.
Javier Ramírez-Montoya
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Sensitivity of Survival Analysis Metrics
Mathematics, 2023 Survival analysis models allow for predicting the probability of an event over time. The specificity of the survival analysis data includes the distribution of events over time and the proportion of classes.
Iulii Vasilev +2 more
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Delta method in large deviations and moderate deviations for estimators [PDF]
, 2011 The delta method is a popular and elementary tool for deriving limiting distributions of transformed statistics, while applications of asymptotic distributions do not allow one to obtain desirable accuracy of approximation for tail probabilities.
Gao, Fuqing, Zhao, Xingqiu
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Evaluation of the Duration of Unemployment Spells Using Kaplan-Meier Estimator. A study on Botoşani County’s Labor Market [PDF]
Ovidius University Annals: Economic Sciences Series, 2018 The aim of this paper is analysing unemployment spells for Botoşani County’s labour market. The database includes individual information on a sample of 200 unemployment spells registeredat the Employment Agency of Botoşani County during January 2012 ...
Sandu Christiana Brigitte +2 more
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Modified Weighted Kaplan-Meier Estimator
Pakistan Journal of Statistics and Operation Research, 2007 En muchos estudios médicos, la mayoría de los sujetos del estudio no llegan al evento de interés durante el período de estudio. En tales situaciones, el estimador de Kaplan Meier puede estimar las probabilidades de supervivencia para la observación censurada.
Mohammad Shafiq +2 more
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