Lifetime Models and Risk Assessment
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2008/09/01
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By Lee M-LT
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Description:In this article we review several methods used in analyzing lifetime data. Lifetime data have found many applications in biomedical research, engineering, as well as in social sciences. Lifetime data can be defined as the times to the occurrence of a certain event. Statistical methods for analyzing lifetime data include the definition of survival time, censored data, prediction of probability of survival, prediction of instantaneous hazards, and evaluation of cure rates. We review different types of lifetime data, methods for estimating hazard and survival functions, methods for risk assessment, as well as multivariate methods for survival data. Lifetime models based on stochastic processes hitting a boundary, such as threshold regression for risk assessment, are also discussed. [Description provided by NIOSH]
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ISBN:9780470035498
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NIOSHTIC Number:nn:20058713
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Citation:Encyclopedia of quantitative risk analysis and assessment. Melnick EL, Everitt BS eds. West Sussex, England: John Wiley & Sons Ltd., 2008 Sep; :987-991
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Federal Fiscal Year:2008
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Performing Organization:University of Maryland - College Park
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Peer Reviewed:False
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Start Date:20060901
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Source Full Name:Encyclopedia of quantitative risk analysis and assessment
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End Date:20090831
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Main Document Checksum:urn:sha-512:de8cc4375b7127440b8316eda59244b4edad183ae5e503035c5df974526f02d9854af62458ad54e2f7c2a55747c134be3bf9bfa92fdf19867f4d9dfc76a29f34
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