competing risks
Contributions to competing risks regression
... unobserved center effects may also exist. All of these factors can result in some hetero- geneity across centers and certain within-center correlation. To address this issue, we can either introduce a method that assumes ...
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Modelling competing risks in nephrology research: an example in peritoneal dialysis
... Modelling competing risks is an essential issue in Nephrology ...of competing risks. In this situation a competing risk analysis should be ...taking competing risks into ...
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Dependent competing risks: Cause elimination and its impact on survival
... In order to illustrate the competing risks framework and compare the two cause removal definitions presented in the paper, we need a cause-specific mortality table. Unfortunately, such tables are not directly ...
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Confidence Interval Estimation of Cumulative Incidence for Clustered Competing Risks
... to competing events. These are risks that alter the probability of the primary outcome ...under competing risks do not account for the e ff ect of ...under competing risks via ...
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Importance of competing risks in the analysis of anti epileptic drug failure
... Conclusion: Treatment failure time can be measured reliably but care is needed to collect sufficient information on reasons for drug withdrawal to allow a competing risks analysis. Important differences ...
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Crude incidence in two-phase designs in the presence of competing risks
... We have derived an estimator for cumulative incidence of events based on the subdistribution hazard accounting for competing risks under a general sampling design from an infinite target population. The ...
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An Evaluation of Competing Risks in Studies of Perinatal Mortality and Birth Defects
... of competing risks (termination and misclassification of neonatal deaths) we estimated the combined mortality occurring during pregnancy or on the day of birth (termination, stillbirth, neonatal death <1 ...
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Competing risks methodology applied to the analysis of cancer therapy outcome
... The KM (any) method is widely used and applied by clinicians with user-friendly statistical software, who may not be aware of the competing risks problem. Although this estimate gives the upper limit of a ...
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Multiple primary tumours: incidence estimation in the presence of competing risks
... of competing risks, as many subjects are withdrawn from the population at risk, as time goes by, by death or ...of competing risks [6], but until now a correct approach taking into considera- ...
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Competing risks, left truncation and late entry effect in A bomb survivors cohort
... and competing risks were developed by using sub-hazard ...The competing risks framework shows that there might be a late entry effect in the male and female ...
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Asymptotic Normality of the Nelson Aalen and the Kaplan Meier Estimators in Competing Risks
... This paper studies the asymptotic normality of the Nelson-Aalen and the Kaplan-Meier estimators in a competing risks context in presence of inde- pendent right-censorship. To prove our results, we use ...
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Estimation of Ten-Year Survival of Patients with Pulmonary Tuberculosis Based on the Competing Risks Model in Iran
... of competing events of death and disease relapse based on competing risks model was ...both competing events of death and disease relapse; in other words, they have both direct and indirect ...
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Modelling the joint distribution of competing risks survival times using copula functions
... ment the proposed methodology. In Section 4, we address the problem of selecting an appropriate copula function and estimating its parameter(s). Then, in Section 5, we describe how, given some estimates of the crude ...
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Bronchiolitis Obliterans Syndrome and Death in Iranian Lung Transplant Recipients: A Bayesian Competing Risks Analysis
... Materials and Methods: This retrospective cohort study included 44 LTX recipients who survived ≥ 3 months post-LTX at the Masih Daneshvari Hospital, Tehran, Iran from 2000 to 2014. The outcome was time from lung ...
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Regression Modeling of Competing Risks Survival Data in the Presence of Covariates Based on a Generalized Weibull Distribution: A Simulation Study
... the competing risks data also (see Prentice et ...for competing risks data and presented inferences for evaluating the treatment influence and other covariates (see Kleinbaum and Klein ...
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Approximation of the likelihood ratio statistics in competing risks model under informative random censorship from both sides
... 5. Bobojonov J.A., Nurmuhamedova N.S. // Approximation of the likelihood ratio statistics in competing risks model under random censorship from the right // In Statistical Methods of Estimation and ...
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Evaluating mortality in intensive care units: contribution of competing risks analyses
... the competing risks approach for predict- ing hospital mortality because being discharged alive com- petes with the outcome of ...earlier, competing risks analyses based on either the logistic ...
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Analysis and design of randomised clinical trials involving competing risks endpoints
... event, competing events include declining radiotherapy (RT) following disease progression or elec- tive RT despite no evidence of disease ...these competing events via a competing risks ...
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The importance of censoring in competing risks analysis of the subdistribution hazard
... a competing risks analysis, so it is important that this issue is considered carefully when analysing time-to-event data in the presence of competing ...
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Competing risks analysis and deposit insurance governance convergence
... countries adopted certain actors to run their first explicit insurers. The first set of hypotheses focuses on domestic factors and assumes policymakers had fairly solid information about what type of DI governance would ...
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