𝔖 Bobbio Scriptorium
✦   LIBER   ✦

The analysis of failure time data in crossover studies

✍ Scribed by John A. Lewis; Lesley A. France; Richard Kay


Book ID
113297066
Publisher
Elsevier Science
Year
1990
Tongue
English
Weight
59 KB
Volume
11
Category
Article
ISSN
0197-2456

No coin nor oath required. For personal study only.


πŸ“œ SIMILAR VOLUMES


Analysis of time-dependent covariates in
✍ Ülker Aydemir; Sibel Aydemir; Peter Dirschedl πŸ“‚ Article πŸ“… 1999 πŸ› John Wiley and Sons 🌐 English βš– 120 KB πŸ‘ 2 views

In failure time analyses, time-dependent covariates are only rarely used. In some clinical studies, however, consideration of available covariate information over time could be relevant to understanding complex disease processes. We propose the time-dependent Cox model and the linear model of Aalen

Dynamic Analysis of Multivariate Failure
✍ Odd O. Aalen; Johan Fosen; Harald Weedon-FekjΓ¦r; Ørnulf Borgan; Einar Husebye πŸ“‚ Article πŸ“… 2004 πŸ› John Wiley and Sons 🌐 English βš– 407 KB
REGRESSION ANALYSIS OF INTERVAL-CENSORED
✍ JIANGUO SUN πŸ“‚ Article πŸ“… 1997 πŸ› John Wiley and Sons 🌐 English βš– 204 KB πŸ‘ 2 views

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