IAA101120604 GA AV ČR - Academy of Sciences of the Czech Republic (AV ČR)
1M06047 GA MŠMT - Ministry of Education, Youth and Sports (MEYS)
CEZ
AV0Z10750506 - UTIA-B (2005-2011)
UT WOS
000266401700005
Annotation
Transformation models for two samples of censored data are considered. Main examples are the proportional hazards and proportional odds model. The key assumption of these models is that the ratio of transformation rates (hazard rates or odds rates) is constant in time. A method of verification of this proportionality assumption is developed. The proposed procedure is based on the idea of Neyman’s smooth test and its data-driven version. The method is suitable for detecting monotonic as well as nonmonotonic ratios of rates.
