ComBat is applied using the ComBat function in the R package sva 49; quantile normalization is applied using the normalize.quantiles function in the R package preprocessCore 50; VSN uses the vsn2 ...

Background Coarctation of the aorta (CoA) has good modern results, but large multicentre longitudinal data on outcomes, especially hospital resource utilisation through childhood and adolescence, are ...

The regression quantile statistics of Koenker and Bassett (1978) are employed to construct an estimate of the error quantile function in linear models with iid errors.

Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...

Objective Long-term azithromycin treatment effectively prevents acute exacerbations of chronic obstructive pulmonary disease (COPD). However, patients would benefit from better identification of ...

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

Compared with commonly-used point forecasting, probabilistic forecasting provides quantitative information on the uncertainty associated with wind power output. However, most studies focus on ...

Low-sodium salt is like table salt, but with some sodium replaced with potassium chloride. Other low-sodium alternatives include iodized, kosher, pink Himalayan, and sea salt.

This work presents parameterized deep quantile regression for short-term probabilistic net-load forecasting at the distribution level. To be precise, we use a Deep Neural Network (DNN) to learn both ...

Classroom resources for teaching pupils at Key Stage 1 and Key Stage 2 in England, and Northern Ireland, Progression Steps 1, 2 and 3 in Wales and at 1st and 2nd Level in Scotland. This page is ...