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Preview in new tab Interview with Diana, Nick, and Rhys from Veramed Are you a master’s student or just graduated from a university? Or do you want to bring on statisticians or programmers fresh out of university onto your team? This episode is for you. We’ll talk about a tested
Interview with Dooti and Qiqi For today’s episode, Qiqi and I talk about BI-UConn Summer Academy, an initiative we started 3 years ago to help students understand and learn the world of clinical development better and bring them networking opportunities. This hybrid academy is open to both UCOnn students and
Do you have a great idea you want to move forward and you need others to buy in? Maybe you want to improve a process or implement a new analysis approach. Your business partner might be your study team or your supervisor. Whenever, we want to change something, we usually
Interview with Aiden Flynn from Exploristics Aiden has first worked on simulations during studying statistics to understand which sample sizes lead to sufficient performance of statistics, which are only asymptotically normal. It helped him in many situations, in which it was difficult to tackle a problem analytically. Simulations help us
Interview with Stuart McGuire Do you sometimes feel that you disrupt your own happiness and success?Are you overworked to make sense of yourself?Do your emotions often control you? Stuart and I got a recommendation to read a book entitled “The Chimp Paradox: The Acclaimed Mind Management”. This book is an incredibly
Interview with David Kerr In today’s episode, we’re talking with a niche part of clinical research many statisticians never get actively involved in: DMCs. David Kerr comes with a deep knowledge and long experience in this setting. We’ll speak about: What is a DMC? What is the role of a
The knowledge about the bias variance trade off is very important for you as a statistician as it comes across your work – especially exploratory work – all the time. Taking care about it will help you avoid problems of over- or underfitting your models. Wikipedia explains the principle very
Interview with Jenny Devenport Jenny has encountered several highly competent people throughout her career who have admitted that they entered one path or another based on certain assumptions that were not entirely correct. Further, she has talked with interns about their future career interests and she sees them teetering on the
Interview with Nancy Carpenter The COVID-19 pandemic has put pharmaceutical research firmly into the spotlight, with the urgent need to develop new therapies, tests, and vaccines. For those outside the industry, hearing announcements in the mainstream media, it is not always easy to understand the intensity of the work and
Should we oversimplify statistics, or should managers learn more about statistics? If you’ve been working as a statistician for a while, you know that you have to keep it simple if you want managers to understand you. Of course, I speak about those managers not being statisticians themselves. There are a
Interview with Swarna Khare Outside of statistics departments, we are often seen as tactical and operational implementers. This branding makes it hard for statisticians to be included in strategic discussions. This limits our ability to influence the organizations and projects. It can even lead to entire departments being outsourced or
Interview with Paolo Eusebi Our job as statisticians focuses primarily on the analysis and communication of uncertainty in its many aspects. For this episode, I think of uncertainty as the variability in the population we are studying, the uncertainty around estimates, or the model uncertainty, which we might capture via