Abstract
SUMMARY Two competing measures of the proportion of variation of possibly censored survival times explained by a given proportional hazards model are compared in a Monte Carlo study. It is shown that the validity of a very quick likelihood based measure (Magee, 1990) depends on a proportionality assumption. The computationally more involved measure V2 of Schemper (1990) is robust in this respect. Both measures produce very close results if the Cox model assumptions are perfectly met.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
