Patients with myelodysplastic syndromes (MDS) exhibit diverse disease trajectories necessitating different clinical approaches ranging from watch-and-wait strategies to hematopoietic stem cell ...

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 ...

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 ...

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 ...

Objective There is limited evidence on the association between lifestyle factors and breast cancer (BC) incidence from Australian longitudinal studies. This study aims to investigate the influence of ...

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 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 ...

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 ...

Longitudinal sexually transmitted enteric infection sampling was feasible and acceptable among GBMSM. Read more.

Longitudinal data analysis encompasses a range of statistical methodologies that examine data collected over extended periods, enabling researchers to disentangle temporal effects and dynamic ...