Clinical states of cirrhosis and competing risks
نویسندگان
چکیده
منابع مشابه
Parametric Competing Risks Models in Clinical Trials
Some fully general parametric competing risks models, which allow the underlying (possibly dependent) lifetimes to be modeled as a function of an arbitrary number of covariables, are formulated, and their resulting likelihood function is derived. Under carefully stated regularity conditions, large sample tests of hypotheses concerning the model parameters are obtained for the single point trunc...
متن کاملeffective factors for risk of death in patients with cirrhosis using competing risks model
background: including multivariate survival data can be pointed competing risks data. there are various methods to analyze such data such as semi-parametric methods of cause-specific hazard function, and cumulative incidence function. the aim of this study was to deploy competing risks model to analyze the determinants of patients with liver cirrhosis. materials and methods: during the one-year...
متن کاملCompeting risks.
Consider a unit which can experience any one of k competing failure types, and suppose that for each unit we observe the time to failure, T , and the type of failure, C ∈ {1, 2, . . . , k}. The case of observing the pair (T, C) is termed “competing risks” in the statistical literature. After considering some examples we review basic notation and theory of competing risks. In particular we consi...
متن کاملCompeting risks and prognostic stages of cirrhosis: a 25-year inception cohort study of 494 patients.
BACKGROUND Morphological, haemodynamic and clinical stages of cirrhosis have been proposed, although no definite staging system is yet accepted for clinical practice. AIM To investigate whether clinical complications of cirrhosis may define different prognostic disease stages. METHODS Analysis of the database from a prospective inception cohort of 494 patients. Decompensation was defined by...
متن کاملParametric Estimation in a Recurrent Competing Risks Model
A resource-efficient approach to making inferences about the distributional properties of the failure times in a competing risks setting is presented. Efficiency is gained by observing recurrences of the compet- ing risks over a random monitoring period. The resulting model is called the recurrent competing risks model (RCRM) and is coupled with two repair strategies whenever the system fails. ...
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ژورنال
عنوان ژورنال: Journal of Hepatology
سال: 2018
ISSN: 0168-8278
DOI: 10.1016/j.jhep.2017.10.020