Results 31 to 40 of about 22,611 (308)

Survival analysis of A.C. machines in the diamond industry using the Kaplan-Meier estimator

open access: yesMATEC 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
doaj   +1 more source

Asymmetric Randomly Censored Mortality Distribution: Bayesian Framework and Parametric Bootstrap with Application to COVID-19 Data

open access: yesJournal 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
doaj   +1 more source

ICBoost: An XGBoost-Based Unbiased Transformed Algorithm for Survival Regression

open access: yesIEEE Access
Prediction 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
doaj   +1 more source

Semiparametric estimation for cure survival model with left-truncated and right-censored data and covariate measurement error [PDF]

open access: yesStatistics and Probability Letters, 2018
In this paper, we mainly discuss the cure model with survival data. Different from the usual survival data with right-censoring, we incorporate the features of left-truncation and measurement error in covariates.
Li‐Pang Chen
semanticscholar   +1 more source

Increased Risk of Sarcomas in Children With Congenital Anomalies: Findings From the Genetic Overlap Between Anomalies and Cancer in Kids (GOBACK) Registry Linkage Study

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Pediatric sarcomas are a heterogeneous group of tumors that contribute disproportionately to cancer mortality in children. Although congenital anomalies are among the strongest known risk factors for childhood cancer, the risk of specific sarcoma subtypes among affected individuals has not yet been thoroughly evaluated. Procedure We
Russ Wolters   +17 more
wiley   +1 more source

Nonparametric Transformation Models for Double-Censored Data with Crossed Survival Curves: A Bayesian Approach

open access: yesMathematics
Double-censored data are frequently encountered in pharmacological and epidemiological studies, where the failure time can only be observed within a certain range and is otherwise either left- or right-censored.
Ping Xu   +4 more
doaj   +1 more source

Interrogating the immune landscape of microsatellite stable RAS‐mutated colon cancer

open access: yesMolecular Oncology, EarlyView.
COLOSSUS project RAS‐mutated MSS colon cancer study explored transcriptomics and immune cell density by immunohistochemistry (IHC), Immunoscore (IS), ISIC/TuLIS scores, mutation counts, and detected different prevalences but similar microenvironment composition across immune markers with clinical relevance for future immunotherapy combination ...
Rodrigo Dienstmann   +61 more
wiley   +1 more source

Estimation of stochastic traffic capacity using extreme value theory and censoring: A case study in Salem, New Hampshire [PDF]

open access: yesArchives 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
doaj   +1 more source

Nonparametric predictive inference with right-censored data [PDF]

open access: yes, 2002
This thesis considers nonparametric predictive inference for lifetime data that include right-censored observations. The assumption A((_m)) proposed by Hill in 1968 provides a partially specified predictive distribution for a future observation given ...
Yan, Ke-Jian
core  

Advancing Solar Energetic Particle Event Prediction through Survival Analysis and Cloud Computing. I. Kaplan–Meier Estimation and Cox Proportional Hazards Modeling

open access: yesAstrophysical Journal Supplement Series
Solar energetic particles (SEPs) pose significant challenges to technology, astronaut health, and space missions. This initial paper in our two-part series undertakes a comprehensive analysis of the time to detection for SEPs, applying advanced ...
India Jackson, P. Martens
semanticscholar   +1 more source

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