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

作者: Camille Sabathé , Per K Andersen , Catherine Helmer , Thomas A Gerds , Hélène Jacqmin-Gadda

DOI: 10.1177/0962280219842271

关键词: CohortDementiaInterval (mathematics)StatisticsRegression analysisValue (mathematics)EstimatorMathematicsEpidemiologyAbsolute 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.

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