Statistical methods are mathematical formulas, models, and techniques that are used in statistical analysis of raw research data. The application of statistical methods extracts information from ...

We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...

Objectives To examine the association between exposure to greenness and hospital admissions for mental disorders, and to ...

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Researchers at Tencent Holdings have proposed a new “lightweight” technique to get AI models to improve by using “experience” without retraining, sparking a debate about whether that could be the key ...

Introduction Adolescence is a key period of development for mental health; however, little is known about how (cumulative) daily life experiences impact long-term mental health development in this ...

Gordon Scott has been an active investor and technical analyst or 20+ years. He is a Chartered Market Technician (CMT). Gordon Scott has been an active investor and technical analyst or 20+ years. He ...

Although we saw increases in women's disclosure and access to support, the entrenchment of domestic violence and the ...

Background To assess subfoveal choroidal thickness (SFCT) and its associations in school children in a Russian population. Methods The Ural Children Eye Study (UCES), a school-based case-control study ...

The modern economy now runs on monthly debits. From streaming platforms to cloud storage to meal kits, the average household ...

This study presents valuable findings from a spatiotemporal analysis of arbovirus case notification data from 2013 to 2020 in Brazil, reporting associations between covariates representing potential ...

Objective To characterise and quantify the mortality risks for a range of causes after tropical cyclones in nine countries ...