Linear regression is one of the simplest and most useful tools for analyzing data. It helps you find the relationship between variables so you can make predictions and understand patterns. In this ...

Objective To examine whether a multicomponent commercial fitness app with very small (‘micro’) financial incentives (FI) ...

James Chen, CMT is an expert trader, investment adviser, and global market strategist. Thomas J. Brock is a CFA and CPA with more than 20 years of experience in various areas including investing, ...

Objective We performed a systematic review, meta-analysis and meta-regression to determine if dietary protein supplementation augments resistance exercise training (RET)-induced gains in muscle mass ...

From genre-defining hits ('Sinners') and surprise breakouts ('Weapons') to hidden gems ('Dead Mail') and auteur-driven awards ...

Researchers at National University of Singapore used multiple interpretable machine learning methods to predict traffic congestion in in Alameda ...

This study examined the relationship between the Monetary Policy Rate (MPR) and inflation across five continents from 2014 to 2023 using both Frequentist and Bayesian Linear Mixed Models (LMM). It ...

Objective To characterise the age-related impact of organ damage patterns on health-related quality of life (HRQoL) in ...

The strong role of socioeconomic factors underscores the limits of purely spatial or technical solutions. While predictive models can identify where risk concentrates, addressing why it does so ...

Background The likelihood of HIV acquisition is increased following forced vaginal sex. This relates in part to ...

The authors provide a useful integrated analytical approach to investigating MASLD focused on diverse multiomic integration methods. The strength of evidence for this new resource is solid, as ...