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Statistical analysis and application of competing risks model with regression
Croatian Operational Research Review, 2019 The paper deals with the methods of statistical analysis of dependent competing risks in the presence of covariates. The problem of identification of marginal and joint distributions of competing random variables is recalled and certain ...
Petr Volf
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Weighted Competing Risks Quantile Regression Models and Variable Selection
Mathematics, 2023 The proportional subdistribution hazards (PSH) model is popularly used to deal with competing risks data. Censored quantile regression provides an important supplement as well as variable selection methods due to large numbers of irrelevant covariates in
Erqian Li +6 more
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Statistical Theory and Related Fields, 2018 In this paper, we consider the statistical analysis for the dependent competing risks model in the constant stress accelerated life testing with Type-II progressive censoring. It is focused on two competing risks from Lomax distribution.
Xuchao Bai +3 more
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Understanding competing risks: a simulation point of view
BMC Medical Research Methodology, 2011 Background Competing risks methodology allows for an event-specific analysis of the single components of composite time-to-event endpoints. A key feature of competing risks is that there are as many hazards as there are competing risks.
Wanner Christoph +4 more
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Semi-Competing Risks on A Trivariate Weibull Survival Model
, 2008 A setting of a trivairate survival function using semi-competing risks concept is proposed. The Stanford Heart Transplant data is reanalyzed using a trivariate Weibull distribution model with the proposed survival ...
Lee, Cheng K., Lee, Jenq-Daw
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LocalControl: An R Package for Comparative Safety and Effectiveness Research
Journal of Statistical Software, 2020 The LocalControl R package implements novel approaches to address biases and confounding when comparing treatments or exposures in observational studies of outcomes.
Nicolas R. Lauve +4 more
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Research in StatisticsIn this article, a general family of bivariate distributions is used to model competing risks data with dependent causes. The general structure of competing risks data considered here includes ties.
Aakash Agrawal +2 more
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Dipolar Tree Ensemble With and Without Adjustment to Competing Risks: Application to Medical Data
Studies in Logic, Grammar and Rhetoric, 2013 The analysis of survival data often aims at the prediction of failure time distribution. In cases of competing risk events, the time distributions of more than one failure are under investigation.
Krętowska Małgorzata
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Competing risks to breast cancer mortality in Catalonia
BMC Cancer, 2008 Background Breast cancer mortality has experienced important changes over the last century. Breast cancer occurs in the presence of other competing risks which can influence breast cancer incidence and mortality trends. The aim of the present work is: 1)
Espinàs Josep-Alfons +6 more
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Network topology drives population temporal variability in experimental habitat networks
Population Ecology, EarlyView.Habitat patches connected by dispersal pathways form habitat networks. We explored how network topology affects population outcomes in laboratory experiments using a model species (Daphnia carinata). Central habitat nodes in complex lattice networks exhibited lower temporal variability in population sizes, suggesting they support more stable ...
Yiwen Xu +3 more
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