전체 논문 (6편 · 1/1)
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Estimating treatment effects on duration with disease: a principal stratification framework.
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Deep learning for the change-point Cox model with current status data.
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Semiparametric regression analysis of interval-censored competing risks data under additive hazards model with missing event types.
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A flexible copula model for bivariate survival data with dependent censoring.
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Pseudo-observations and super learner for the estimation of the restricted mean survival time.
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Modelling dependent censoring in time-to-event data using boosting copula regression.