Interval-censored failure time data often occur, for example, in clinical trials or longitudinal studies. For the regression analysis of such data, there have been a number of methods proposed based on continuous regression models such as Cox's proportional hazards model. In practice, however, obser
Regression analysis of interval-censored failure time data with linear transformation models
โ Scribed by Zhigang Zhang; Liuquan Sun; Xingqiu Zhao; Jianguo Sun
- Publisher
- John Wiley and Sons
- Year
- 2005
- Tongue
- French
- Weight
- 600 KB
- Volume
- 33
- Category
- Article
- ISSN
- 0319-5724
No coin nor oath required. For personal study only.
โฆ Synopsis
The authors consider the estimation of regression parameters in the context of a class of generalized pmportional hazards models, termed linear transformation models, in the presence of interval-censored data. They present an estimating equation appach whose good performance is demonstrated through simulations and which they illustrate in a few concrete cases.
Analyse par rbression de temps de d6ces censures par intervalle au moyen de modeles a transformation lineaire
Rksurd : Les auteurs s'inthessent h l'estimation des paramhtres de dgxession dam le cadre d'une classe de modhles h risques pportionnels g6n6raWs. dits modhles h transformation linbaire, en pdsence de donnks c e n s d s par intervalle. Ils pposent une approche par equations d'estimation, dont ils montrent la bonne performance au moyen de simulations et qu'ils illustrent dam quelques cas concmts.
๐ SIMILAR VOLUMES
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.