TY - JOUR
T1 - Parametric estimation of association in bivariate failure-time data subject to competing risks
T2 - sensitivity to underlying assumptions
AU - Kim, Jeongyong
AU - Bandeen-Roche, Karen
N1 - Publisher Copyright:
© 2018, Springer Science+Business Media, LLC, part of Springer Nature.
PY - 2019/4/15
Y1 - 2019/4/15
N2 - There has arisen a considerable body of research addressing the estimation of association between paired failure times in the presence of competing risks. In a 2002 paper, Bandeen-Roche and Liang proposed the conditional cause-specific hazard ratio (CCSHR) as a measure of this association and a parametric method by which to estimate it. The method features an interpretable decomposition of the CCSHR into factors describing the association between a pair’s times to first failure among multiple failure causes and the association in pair members’ propensities to fail due to a common cause. There were indications of sensitivity to model assumptions, however, in the 2002 work. Here we report a detailed study of the method’s sensitivity to its parametric assumptions. We conclude that the method’s performance is most sensitive to mis-specification of temporality in the association between pair members’ first-failure times and of correlation between propensity to fail early or late and the propensity to fail of a specific cause. Implications for methods development are highlighted.
AB - There has arisen a considerable body of research addressing the estimation of association between paired failure times in the presence of competing risks. In a 2002 paper, Bandeen-Roche and Liang proposed the conditional cause-specific hazard ratio (CCSHR) as a measure of this association and a parametric method by which to estimate it. The method features an interpretable decomposition of the CCSHR into factors describing the association between a pair’s times to first failure among multiple failure causes and the association in pair members’ propensities to fail due to a common cause. There were indications of sensitivity to model assumptions, however, in the 2002 work. Here we report a detailed study of the method’s sensitivity to its parametric assumptions. We conclude that the method’s performance is most sensitive to mis-specification of temporality in the association between pair members’ first-failure times and of correlation between propensity to fail early or late and the propensity to fail of a specific cause. Implications for methods development are highlighted.
KW - Conditional cause-specific hazard ratio
KW - Conditional hazard ratio
KW - Dependence
KW - Frailty
KW - Multivariate
KW - Survival
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U2 - 10.1007/s10985-018-9438-3
DO - 10.1007/s10985-018-9438-3
M3 - Article
C2 - 30076511
AN - SCOPUS:85051679496
SN - 1380-7870
VL - 25
SP - 259
EP - 279
JO - Lifetime Data Analysis
JF - Lifetime Data Analysis
IS - 2
ER -