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@article{1324009,
author = {Kraus, David},
article_location = {Philadelphia},
article_number = {4},
doi = {http://dx.doi.org/10.1080/03610920701669744},
keywords = {Cox model; goodness of fit; proportional hazards assumption; time-varying coefficients},
language = {eng},
issn = {0361-0926},
journal = {Communications in Statistics - Theory and Methods},
title = {Identifying nonproportional covariates in the Cox model},
volume = {37},
year = {2008}
}
TY - JOUR
ID - 1324009
AU - Kraus, David
PY - 2008
TI - Identifying nonproportional covariates in the Cox model
JF - Communications in Statistics - Theory and Methods
VL - 37
IS - 4
SP - 617-625
EP - 617-625
PB - Marcel Dekker
SN - 03610926
KW - Cox model
KW - goodness of fit
KW - proportional hazards assumption
KW - time-varying coefficients
N2 - This paper addresses problem of testing whether an individual covariate in the Cox model has a proportional (i.e., time-constant) effect on the hazard. Two existing methods are considered: one is based on the component of the score process, and the other is a Neyman type smooth test. Simulations show that, when the model contains both proportional and nonproportional covariates, these methods are not reliable tools for discrimination. A simple yet effective solution is proposed based on smooth modeling of the effects of the covariates not in focus.
ER -
KRAUS, David. Identifying nonproportional covariates in the Cox model. \textit{Communications in Statistics - Theory and Methods}. Philadelphia: Marcel Dekker, 2008, roč.~37, č.~4, s.~617-625. ISSN~0361-0926. Dostupné z: https://dx.doi.org/10.1080/03610920701669744.
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