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A new publication by two University of Cincinnati researchers contends that adjusting how researchers approach their statistical analysis has the potential to change the lives of children and ...
Methods for systematic reviews are well developed for trials, but not for non-experimental or qualitative research. This paper describes the methods developed for reviewing research on people’s ...
During his Ph.D. research, mathematician Tyron Lardy worked on a new approach to hypothesis testing. Instead of the traditional p-value, he uses so-called e-values. These turn out to be more ...
The project, which was funded by Genomics England, also highlights how current statistical and machine learning tools can perpetuate or help correct biases, and calls for more equitable methods to ...
We will draw on examples from the health sciences but the course is suitable for anyone who wants to develop or refresh their statistical knowledge. This could be individuals working in a variety of ...
Innovative statistical method helps determine ideal threshold times in restricted mean survival time analyses.
Clinical research is a delicate industry that only a few skilled specialists can handle head-on. Dr. Chen Yang, a prominent figure in biostatistics at the Icahn School of Medicine at Mount Sinai, ...
p-Values (p) are commonly misused in medical research to decide whether a result is significant (e.g., p ≤ 0.05) or not (e.g., p > 0.05). However, this oversimplification can translate into approving ...
Second, we review relevant methodological approaches of research on reflective writings in teacher education, such as qualitative, quantitative and mixed methods. Third, we present a study from our ...
Even with simple and effective methods, we have achieved promising results. Therefore, future research should continue to focus on combining statistical mathematical methods with deep learning ...
Frequentist and Bayesian statistics represent two differing paradigms for the analysis of data. Frequentism became the dominant mode of statistical thinking in medical practice during the 20th century ...
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