Comparison of two discrimination indexes in the categorisation of continuous predictors in time-to-event studies
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Estadístiques de LA Referencia / Recolecta
Inclou dades d'ús des de 2022
Cita com:
hdl:2117/112753
Tipus de documentArticle
Data publicació2017-06-21
EditorInstitut d'Estadística de Catalunya
Condicions d'accésAccés obert
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continguts d'aquesta obra estan subjectes a la llicència de Creative Commons
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Reconeixement-NoComercial-SenseObraDerivada 3.0 Espanya
Abstract
The Cox proportionalhazards model is the most widely used su
rvival prediction model for analysing
time-to-event data. To measure the discrimination ability
of a survival model the concordance
probability index is widely used. In this work we studied and
compared the performance of two
different estimators of the concordance probability when a
continuous predictor variable is cate-
gorised in a Cox proportional hazards regression model. In p
articular, we compared the c-index
and the concordance probability estimator. We evaluated th
e empirical performance of both es-
timators through simulations. To categorise the predictor
variable we propose a methodology
which considers the maximal discrimination attained for th
e categorical variable. We applied this
methodology to a cohort of patients with chronic obstructiv
e pulmonary disease, in particular, we
categorised the predictor variable forced expiratory volu
me in one second in percentage
CitacióBarrio, I. [et al.]. Comparison of two discrimination indexes in the categorisation of continuous predictors in time-to-event studies. "SORT", 21 Juny 2017, vol. 1, p. 73-92.
ISSN1696-2281
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