The latency time of an infectious disease is de"ned as the time from infection to disease onset. This paper applies the proportional hazards model to estimate the e!ect of covariates on latency when the time of disease onset is exact or right-censored but the time of infection is interval-censored.
Dynamic Analysis of Recurrent Event Data Using the Additive Hazard Model
✍ Scribed by Johan Fosen; Ørnulf Borgan; Harald Weedon-Fekjær; Odd O. Aalen
- Publisher
- John Wiley and Sons
- Year
- 2006
- Tongue
- English
- Weight
- 551 KB
- Volume
- 48
- Category
- Article
- ISSN
- 0323-3847
No coin nor oath required. For personal study only.
📜 SIMILAR VOLUMES
Data from a litter matched tumorigenesis experiment arc analysed using a gencralised h e a r mixed model (GLMM) approach to the analysis of clustered survival data in which there is a dependence of failure time observations withii the same litter. Maximum likelihood (ML.) and residual maximum likeli
## The Poisson regression model for the analysis of life table and follow-up data with covariates is presented. An example is presented to show how this technique cun be used to construct a parsimonious model which describesa set of survival data. All parameters in the model, the hazard and surviv
In order to analyze NMR relaxation data in terms of parameters which describe internal motion, one must first obtain a description of the overall tumbling of the macromolecule in solution. Methods currently used to estimate these global parameters may not always provide reliable estimates of their v