Podrobný výpis o publikaci

KRAUS, David. Checking proportional rates in the two-sample transformation model. Kybernetika. Praha: Academia, 2009, roč. 45, č. 2, s. 261-278. ISSN 0023-5954.

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Základní údaje
Originální název	Checking proportional rates in the two-sample transformation model
Autoři	KRAUS, David.
Vydání	Kybernetika, Praha, Academia, 2009, 0023-5954.

Další údaje
Originální jazyk	angličtina
Typ výsledku	Článek v odborném periodiku
Utajení	není předmětem státního či obchodního tajemství
Impakt faktor	Impact factor: 0.445
UT WoS	000266401700005
Klíčová slova anglicky	Neyman's smooth test; proportional hazards; proportional odds; survival analysis; transformation model; two-sample test
Příznaky	Mezinárodní význam, Recenzováno
Změnil	Změnil: doc. Mgr. David Kraus, Ph.D., učo 238224. Změněno: 12. 1. 2016 16:40.

Anotace
Transformation models for two samples of censored data axe considered. Main examples are the proportional hazards and proportional odds model. The key assumption of these models is that the ratio of transformation rates (e. g., 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.

Anotace

Transformation models for two samples of censored data axe considered. Main examples are the proportional hazards and proportional odds model. The key assumption of these models is that the ratio of transformation rates (e. g., 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.