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Multiple Time Scale...
Multiple Time Scales and Longitudinal Measurements in Event History Analysis
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- Danardono, , 1968- (author)
- Umeå universitet,Statistiska institutionen
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(creator_code:org_t)
- ISBN 9173058122
- Umeå : Statistik, 2005
- English 130 s.
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Series: Statistical studies, 1100-8989 ; 33
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Abstract
Subject headings
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- A general time-to-event data analysis known as event history analysis is considered. The focus is on the analysis of time-to-event data using Cox's regression model when the time to the event may be measured from different origins giving several observable time scales and when longitudinal measurements are involved. For the multiple time scales problem, procedures to choose a basic time scale in Cox's regression model are proposed. The connections between piecewise constant hazards, time-dependent covariates and time-dependent strata in the dual time scales are discussed. For the longitudinal measurements problem, four methods known in the literature together with two proposed methods are compared. All quantitative comparisons are performed by means of simulations. Applications to the analysis of infant mortality, morbidity, and growth are provided.
Subject headings
- NATURVETENSKAP -- Matematik -- Sannolikhetsteori och statistik (hsv//swe)
- NATURAL SCIENCES -- Mathematics -- Probability Theory and Statistics (hsv//eng)
Keyword
- Statistics
- Cox regression
- multiple events
- proportiona hazards
- random effects
- survival analysis
- time-dependent covariates
- time origin
- Statistik
- Statistics
- Statistik
- Statistics
- statistik
Publication and Content Type
- vet (subject category)
- dok (subject category)
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