Some scientific papers are unbelievable as they showcase experimental excellence that we did not think possible. These papers astound us with their groundbreaking findings and meticulous methodologies.

However, alongside these unbelievably good papers, there are papers that are unbelievable due to the pervasive presence of statistical mistakes that undermine their credibility. Whether due to negligence, lack of expertise, or a rush to publish, these errors cast doubt on the validity of the reported results and conclusions.

In this episode of Listen In, JJ Orban de Xivry delves into the ten most common statistical mistakes that plague scientific research (Makin and Orban de Xivry, eLife, 2019).

With a focus on identifying these errors, he sheds light on the detrimental impact they have on the reliability of scientific findings. By identifying and rectifying statistical mistakes, researchers can ensure the foundation of their field of study.

Watch the full presentation here: https://events.bitesizebio.com/ten-common-statistical-mistakes-to

Browse all episodes of the Listen In Series here: https://listen-in.bitesizebio.com/