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Hello, I am considering about increasing evaluation for deepsurv. I am wondering it's reasonable that use output risk $h_{\theta}(x)$ to calculate survival lines just imitating breslow and KM estimation method because they come from full likelihood of CoxPH. such the base line cumulative hazard function $$\Lambda_0 (t) = \sum_{i=1}^{N} \frac{\delta_i}{ \sum_{j \in R( T_{(i)} ) } \exp(h_{\theta}(x))} I( t \geq T_{(i)} )$$ and then, calculate timeROC. Thanks!
The text was updated successfully, but these errors were encountered:
Hello, I am considering about increasing evaluation for deepsurv. I am wondering it's reasonable that use output risk$h_{\theta}(x)$ to calculate survival lines just imitating breslow and KM estimation method because they come from full likelihood of CoxPH. such the base line cumulative hazard function $$\Lambda_0 (t) = \sum_{i=1}^{N} \frac{\delta_i}{ \sum_{j \in R( T_{(i)} ) } \exp(h_{\theta}(x))} I( t \geq T_{(i)} )$$ and then, calculate timeROC. Thanks!
The text was updated successfully, but these errors were encountered: