Longitudinal data analysis is an essential statistical approach for studying phenomena observed repeatedly over time, allowing researchers to explore both within-subject and between-subject variations ...
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Brain atrophy and circadian rhythms; new fluoride and IQ data; autism brain donation
News and commentary from the world of neurology and neuroscience ...
Why models and longitudinal data on adherence to non-pharmaceutical interventions must come together
An interdisciplinary team of authors from Canada, Austria, the U.S. and Germany has outlined how immuno-epidemiology and individual decision-making on non-pharmaceutical interventions (NPIs) can be ...
State Longitudinal Data Systems (SLDS) paired with AI and machine learning present incredible opportunities for enhancing public services by integrating education, workforce, health, and other agency ...
Reasoning Models for Text Mining in Oncology: A Comparison Between o1 Preview, GPT-4o, and GPT-5 at Different Reasoning Levels A data set of 1052 patients with human epidermal growth factor receptor 2 ...
Officials at Velsera say that the company has expanded the capabilities of its Global Data Network (GDN), which they describe as a federated, secure data ecosystem that allows life sciences ...
The data refute the rapid-onset gender dysphoria hypothesis by showing that the initially higher depressive symptoms reported by youths transitioning from cisgender to transgender or gender diverse ...
The longitudinal profile data for the asphalt pavement SMP sections was analyzed to assess the applicability of seasonal adjustments. The time-series IRI data was plotted, and a linear regression was ...
Over the past 15 years, the World Bank’s premier longitudinal household survey project, the Living Standards Measurement Study – Integrated Surveys on Agriculture (LSMS-ISA), supported national ...
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