Composite endpoints are commonly used with an anticipation that clinical...
This paper considers doing quantile regression on censored data using ne...
Deep learning (DL) has recently drawn much attention in image analysis,
...
With the rapid advances of deep learning, many computational methods hav...
The computational prediction algorithm of neural network, or deep learni...
The inactivity time, or lost lifespan specifically for mortality data,
c...
To combine the proportions from different studies for meta-analysis, Fre...