We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...
This study used a cluster-randomised design in which each ward (cluster) was assigned to implement IPTsc or serve as a control. All schoolchildren in primary schools under the intervention arm ...
Introduction: Implicit measures are widely used to indirectly assess psychological constructs and predict behavior. Nonetheless, comparisons of their predictive validity often suffer from ...
Thank you for your excellent work on fixest and pyfixest. As a heavy user of R and Python (and not very familiar with Stata), I was thrilled to discover these packages. Thanks again! However, I have a ...
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Objective: Childhood morbidities are crucial for improving long-term public health outcomes. This study aimed to examine the existence of child-specific and regional variation in childhood morbidity ...
Abstract: The linear mixed-effects model is commonly utilized to interpret longitudinal data, characterizing both the global longitudinal trajectory across all observations and longitudinal ...
Abstract: Phylogenetic Comparative Methods (PCMs) offer a critical approach to analyzing species traits by accounting for evolutionary relationships. Traditionally, these models incorporate ...
This study proposes a potentially useful improvement on a popular fMRI method for quantifying representational similarity in brain measurements by focusing on representational strength at the single ...
Adherence to Adjuvant Endocrine Therapy in Patients With Nonmetastatic Estrogen Receptor–Positive Breast Cancer: A Comprehensive Brazilian Real-World Data Study This prospective observational study ...
The long-term impact of bariatric surgery on cardiac mechanics and energetics has been scarcely documented. We aimed to assess prospectively the 5-year trajectories of left heart geometry, mechanics, ...