Semiparametric analysis of interval‐censored failure time data with outcome‐dependent observation schemes

Disease progression is often monitored by intermittent follow‐up “visits” in longitudinal cohort studies, resulting in interval‐censored failure time outcomes. Furthermore, the timing and frequency of visits is often found related to a person's history of disease‐related variables in practice....

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Veröffentlicht in:	Scandinavian journal of statistics 2022-03, Vol.49 (1), p.236-264
Hauptverfasser:	Zhu, Yayuan, Chen, Ziqi, Lawless, Jerald F.
Format:	Artikel
Sprache:	eng
Schlagworte:	additive hazards model Arthritis Covariance matrix dependent visit times Estimators Failure analysis Failure times Hazards interval censoring inverse‐intensity‐of‐visit weight linear transformation models Linear transformations Regression coefficients Regression models semiparametric estimation
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