Missing data in clinical trials remains an ongoing concern. With the expansion of data privacy efforts and the consequent inability to contact trial participants for follow-up, the magnitude and ...

Researchers from Turku Bioscience Center at the University of Turku, Finland, have developed a new computational method to ...

Emotional distress among adolescents in most participating countries was higher in 2022 than in 2018, with disproportionate ...

WRN inhibitors are attracting increasing attention as a niche but fast-emerging segment within precision oncology, driven by their role in targeting DNA repair vulnerabilities. Promising candidates, ...

Background Community resilience is a relevant concept in public health, but its empirical relationship with health outcomes ...

There are stark socioeconomic and ethnic inequalities in babies admitted to and who die in neonatal units in England and ...

If you have experience with R or want a quick way to generate a regression with statsmodels using a pandas DataFrame, you can ...

Abstract: Accelerated life testing is widely employed due to the high cost involved in testing high-quality products under normal operating conditions. For products exposed to continuously fluctuating ...

I 'm a big fan of Python for data analysis, but even I get curious about what else is available. R has long been the go-to language for statistics, but the "Tidyverse" has given the language a serious ...

Abstract: Accurate short-term power forecasting is crucial for the successful commercialization of solar energy, helping to prevent financial losses in energy markets. Federated learning (FL) offers a ...

The final, formatted version of the article will be published soon. Multiple sclerosis (MS) is the disabling neurological disease that currently most affects young people. Changes in gait ...