Checking proportional rates in the two-sample transformation model

0330349 - ÚTIA 2010 RIV CZ eng J - Journal Article
Kraus, David
Checking proportional rates in the two-sample transformation model.
[Testování proporcionality rizik v trensformačních modelech.]
Kybernetika. Roč. 45, č. 2 (2009), s. 261-278. ISSN 0023-5954
R&D Projects: GA AV ČR(CZ) IAA101120604; GA MŠMT(CZ) 1M06047
Institutional research plan: CEZ:AV0Z10750506
Keywords : Neyman's smooth tets * proportional hazards * proportional odds
Subject RIV: BB - Applied Statistics, Operational Research
Impact factor: 0.445, year: 2009
http://library.utia.cas.cz/separaty/2009/SI/kraus-checking proportional rates in the two-sample transformation model.pdf

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.

V rámci statistické analýzy přežití jsou uvažovány modely s proporcionálním rizikem. Je navržen test proporcionality založený na idei Neymanova testu, tj. na uvažování funkcionálních alternativ. Je zkoumána adaptivní verze výběru alternativ a vlastnosti těchto testů.
Permanent Link: http://hdl.handle.net/11104/0176161