I have been familiar with the phrase “journal impact factor” for a long time. So, when the librarians reached out to understand more about the impact of librarians’ involvement in research projects on journal impact factors, I jumped at the opportunity.

I have been eagerly awaiting the publication of this work for a very long time. The wait was so long that I even forgot to check the DOI link until recently.

Today, I attended several presentations by consultants-in-training. Their task was to introduce new concepts to an audience with only an introductory background in statistics. Each group had 20 minutes to present a topic of their choice.

As part of my job, I coach and guide student consultants to work on interdisciplinary projects. From experience, I have found most consultants have strong technical skills to perform an analysis but lack various soft skills.

Congratulations Yuying on publishing a new article. The article looks into relationship between student performance and entry-to-practice milestones. The data set has many common issues commonly encountered in other projects. I am glad that Yuying addressed every research question from the collaborators and presented the results to them in an understandable manner.

Bravo, Trang! Your hard work has truly paid off. In the literature of meta analysis, the assumption is that the measurements are taken in the same unit and scale. However, this is not the case in most articles, making systematic review tedious.

After 4 years of hiatus, I am back in the field organizing and giving statistics workshops again. Although I was able to reuse some materials from before, it is still a little nerve wrecking.

I was thrilled to find this project. It is such a gem because we seldom find ourselves working with data from the linguistic studies. We often wonder what do they do measure and what can they measure.

Last year, I met with Rahim, Kaleb and Melanie to discuss how to analyze the data about the eye’s optic. It was an educational moment for me when I found that human vision is different between those with and without diabetes.