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Regression analysis in an illness-death model with interval-censored data: A pseudo-value approach

2019; SAGE Publishing; Volume: 29; Issue: 3 Linguagem: Inglês

10.1177/0962280219842271

1477-0334

Camille Sabathé, Per Kragh Andersen, Catherine Helmer, Thomas A. Gerds, Hélène Jacqmin‐Gadda, Pierre Joly,

Statistical Distribution Estimation and Applications

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.