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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, 2009, vol.~45, No~2, p.~261-278. ISSN~0023-5954.
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