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Weighing Risks and Benefits in the Presence of Competing Risks
Current Epidemiology Reports, 2023When competing events occur, there are two main options for handling them analytically that invoke different assumptions: 1) censor person-time after a competing event (which is akin to assuming they could be prevented) to calculate a conditional risk; or 2) do not censor them (allow them to occur) to calculate an unconditional risk.
Catherine R, Lesko +4 more
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Competency and Risk‐relativity
Bioethics, 2001In this paper I discuss the view that the appropriate concept of competence is a decision‐relative one: that a person may be competent to make one decision but not another. The argument that I present is that neither of the two competing theories supporting the decision‐relative approach, internalism and externalism, can provide a coherent explanation ...
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2008
A competing risks model is a model for multiple durations that start at the same point in time for a given subject, where the subject is observed until the first duration is completed and one also observes which of the multiple durations is completed first.
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A competing risks model is a model for multiple durations that start at the same point in time for a given subject, where the subject is observed until the first duration is completed and one also observes which of the multiple durations is completed first.
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NONPARAMETRIC ESTIMATION FOR COMPETING RISKS
Australian Journal of Statistics, 1993SummaryThis paper considers the estimation of the ratio of two scale parameters when the data are censored. It emphasises characteristics of the asymptotic variance under censoring from a practical point of view. The estimator proposed by Padgett & Wei (1982) for the two‐sample scale model is extended to the competing risks model.
Froda, S., Luong, A.
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2008
This chapter investigates the area of competing risks.
Bedford, T.J., Alkali, B., Burnham, R,
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This chapter investigates the area of competing risks.
Bedford, T.J., Alkali, B., Burnham, R,
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WIREs Computational Statistics, 2010
AbstractCompeting risks arise when a subject is exposed to many causes of failure. Data consist of the time the subject failed and an indicator of which risk caused the subject to fail. Examples in medicine include the analysis of cause to death data, the analysis of relapse and death in remission in cancer studies, or random right censoring.
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AbstractCompeting risks arise when a subject is exposed to many causes of failure. Data consist of the time the subject failed and an indicator of which risk caused the subject to fail. Examples in medicine include the analysis of cause to death data, the analysis of relapse and death in remission in cancer studies, or random right censoring.
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A DYNAMIC COMPETING RISKS MODEL
Probability in the Engineering and Informational Sciences, 1999We consider a series system with p components where the failure rate of each component depends on the residual number of defects present. Successive tasks are given to the system with each task completion time independent of each component failure time. Based on the outcomes over a fixed testing period, the asymptotic properties of the estimators
Agustin, Marcus A., Peña, Edsel A.
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Familial Risk and Child Competence
Child Development, 1983Components of familial risk are examined in the context of a 4-year longitudinal study of children with mentally ill mothers. The risk factors examined are parental mental health, social status, parental perspectives, and family stress. The interactions among the risk factors were found to be complex in nature and different for child cognitive and ...
A J, Sameroff, R, Seifer
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International Journal of Radiation Oncology*Biology*Physics, 2021
Basak, Ramsankar +2 more
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Basak, Ramsankar +2 more
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Cumulative Incidence in Competing Risks Data and Competing Risks Regression Analysis
Clinical Cancer Research, 2007Abstract Competing risks occur commonly in medical research. For example, both treatment-related mortality and disease recurrence are important outcomes of interest and well-known competing risks in cancer research. In the analysis of competing risks data, methods of standard survival analysis such as the Kaplan-Meier method for ...
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