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

This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...

To add FT coverage as predictors, we ran more than 40 years of FT articles through a well-known topic model, named Latent Dirichlet Allocation. This gives us a clear picture of what our journalists ...

Many supply chain teams are exploring predictive analytics to improve the accuracy of demand planning. These models apply statistical and machine learning techniques to identify patterns in ...

Intelligence as measured by IQ tests is the single most effective predictor known of individual performance at school and on ...

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single ...

Background Immune-mediated processes leading to childhood type 1 diabetes may begin in fetal life. We hypothesised that a ...

Background Restarting direct oral anticoagulants (DOACs) after a serious bleeding event in patients with atrial fibrillation ...

OXLC’s RIC structure forces high payouts but erodes NAV, making long-term buy-and-hold strategies risky and often ...

DBMF gives retail investors access to CTA-style strategies with hedging potential, despite lagging traditional portfolios.