Post-hoc testing is carried out after a statistical analysis where you have performed multiple significance tests, ‘post-hoc’ coming from the Latin “after this”. Post-hoc analysis represents a way to ...

In oncology drug development, biomarker-driven studies are pivotal, enabling the selection of patient populations most likely to benefit from specific therapeutic interventions. These studies have ...

In the 21st century, artificial intelligence (AI) has emerged as a valuable approach in data science and a growing influence in medical research, 4-6 with an accelerating pace of innovation. This ...

Safety evaluation studies are essential for regulatory approval before a new pharmaceutical can enter clinical phases. Conducted in GLP (Good Laboratory Practice)-certified facilities, these studies ...

Linear regression is a powerful and long-established statistical tool that is commonly used across applied sciences, economics and many other fields. Linear regression considers the relationship ...

Statistical significance is a critical concept in data analysis and research. In essence, it’s a measure that allows researchers to assess whether the results of an experiment or study are due to ...

It's a bit late now, because the course is over, but still, giving a real-world example of statistical analysis that is actually relevant to daily life would possibly spark something in the relative ...

It may be common knowledge that p < .05 indicates statistical significance. Psychology students (and others) are often taught that p < .05 means the probability (p) of rejecting the null hypothesis ...