We consider counting process methods for analysing time-to-event data with multiple or recurrent outcomes, using the models developed by Anderson and Gill, Wei, Lin and Weissfeld and Prentice, Williams and Peterson. We compare the methods, and show how to implement them using popular statistical sof
MARGINAL ANALYSIS OF RECURRENT EVENTS AND A TERMINATING EVENT
β Scribed by RICHARD J. COOK; JERALD F. LAWLESS
- Publisher
- John Wiley and Sons
- Year
- 1997
- Tongue
- English
- Weight
- 278 KB
- Volume
- 16
- Category
- Article
- ISSN
- 0277-6715
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β¦ Synopsis
Chronic medical conditions are often manifested by the incidence of recurrent adverse clinical events. In clinical trials designed to investigate therapeutic interventions for such conditions it is natural to make treatment comparisons on the basis of event occurrence. However, when there is a more serious, possibly related, event that terminates the occurrence of the recurrent events, the problem of dependent censoring arises. Here, we consider robust modelling strategies for expressing covariate effects on the recurrent event process that address the possible dependence between the recurrent and terminal events. The various methods differ in the way the dependence is addressed, and hence in the interpretation of covariate effects. The methods are applied to a data set from a kidney transplant study and simulated data chosen for illustrative purposes.
π SIMILAR VOLUMES
We consider application of the Wei-Lin-Weissfeld (WLW) method for multiple failure time data when analysing a disease process consisting of a recurring outcome, such as clinical progression, and a terminating outcome, such as death. In order to adapt WLW for this situation, 'events' must be specifie