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@article{1324008, author = {Kraus, David}, article_location = {Praha}, article_number = {2}, keywords = {Neyman's smooth test; proportional hazards; proportional odds; survival analysis; transformation model; two-sample test}, language = {eng}, issn = {0023-5954}, journal = {Kybernetika}, title = {Checking proportional rates in the two-sample transformation model}, volume = {45}, year = {2009} }
TY - JOUR ID - 1324008 AU - Kraus, David PY - 2009 TI - Checking proportional rates in the two-sample transformation model JF - Kybernetika VL - 45 IS - 2 SP - 261-278 EP - 261-278 PB - Academia SN - 00235954 KW - Neyman's smooth test KW - proportional hazards KW - proportional odds KW - survival analysis KW - transformation model KW - two-sample test N2 - 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. ER -
KRAUS, David. Checking proportional rates in the two-sample transformation model. \textit{Kybernetika}. Praha: Academia, roč.~45, č.~2, s.~261-278. ISSN~0023-5954. 2009.
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