作者: Camille Sabathé , Per K Andersen , Catherine Helmer , Thomas A Gerds , Hélène Jacqmin-Gadda
关键词: Cohort 、 Dementia 、 Interval (mathematics) 、 Statistics 、 Regression analysis 、 Value (mathematics) 、 Estimator 、 Mathematics 、 Epidemiology 、 Absolute risk reduction
摘要: 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 extension of the pseudo-value approach data based on semi-parametric estimator computed using penalised likelihood and splines. This takes interval-censoring competing risks into account illness-death model. apply three mean value parameters interest studies dementia: probability staying alive non-demented, restricted survival time without absolute risk dementia. Simulation conducted examine properties pseudo-values this estimator. The is applied French cohort PAQUID, which included more than 3,000 non-demented subjects, followed 25 years.