Batch adjustment. We adjust handling effects that can be attributed to the data collection batches in the simulated data using BatMan or ComBat, either alone or following data normalization (median ...

Ignoring measurement errors in conventional regression analyses can lead to biased estimation and inference results. Reducing such bias is challenging when the error-prone covariate is a functional ...

In this study, we aim to reduce the dimension of predictors by considering the central quantile subspace or central subspace. To do so, we use two metrics, the quantile martingale difference ...