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Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
Regression analysis in an illness-death model with interval-censored data: A pseudo-value approach
Camille Sabathé1, Per K Andersen2, Catherine Helmer1
1INSERM, Bordeaux Population Health Research Center, Univ. Bordeaux, Bordeaux, France.
Abstract:
Pseudo-values provide a method to perform regression analysis for complex quantities with right-censored data. A further complication, interval-censored data, appears when events such as dementia are studied in an epidemiological cohort. We propose an extension of the pseudo-value approach for interval-censored data based on a semi-parametric estimator computed using penalised likelihood and splines. This estimator takes interval-censoring and competing risks into account in an illness-death model. We apply the pseudo-value approach to three mean value parameters of interest in studies of dementia: the probability of staying alive and non-demented, the restricted mean survival time without dementia and the absolute risk of dementia. Simulation studies are conducted to examine properties of pseudo-values based on this semi-parametric estimator. The method is applied to the French cohort PAQUID, which included more than 3,000 non-demented subjects, followed for dementia for more than 25 years.
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