4 citations · 4 across the 5 of their papers we have counts for
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stat.ML2020★ 4 cited
DeepHazard: neural network for time-varying risks
Denise Rava, Jelena Bradic
Prognostic models in survival analysis are aimed at understanding the relationship between patients' covariates and the distribution of survival time. Traditionally, semi-parametri…
stat.AP2020
Explained Variation under the Additive Hazards Model
Denise Rava, Ronghui Xu
We study explained variation under the additive hazards regression model for right-censored data. We consider different approaches for developing such a measure, and focus on one t…