Archives for April 2022

Interview with Dr. Stefan Walzer

What is a DIGA?
Why is Germany so important for DIGAs?

Nowadays, there are a couple of available apps being used in several countries that collect user information, such as heart rate combined with algorithms that calculate certain health risks that the user may be vulnerable to. What differentiates these apps from the apps listed in the DIGA registry?

In today’s episode, Dr. Stefan Walzer and I discussed the goal of the Digital Health Application.

Stay tuned and listen while we talk about the following points:

Interview with Antoine Regnault

Why do companies want to develop new patient-reported outcomes (PRO)?
How does the process start when we want to develop a new questionnaire?
What are the key areas to look into for understanding the quality of a PRO?
What guidelines exist on developing new PROs?

In today’s episode, Antoine and I answer these questions and more. E.g. we talk about the importance of calibrating the relevance of the existing items in the questionnaire and developing new ones in order to reach more accurate measurements resulting in good PROs.

Stay tuned and listen while we also cover the following points:

Interview with Jenny Devenport

What is medical affairs? Launch and Lifecycle?
How has this area evolved over the last 2 decades?
What is the current state across the industry in terms of the role of statistics in this space?

This is a series of episodes and today’s content is the first episode. Join Jenny and I while we dive into her career and discuss important points about the following:

Interview with Miguel Hernan

When there is one topic, which is really hot, it’s causal inference. I’ve got in contact with it about 20 years ago when analysing observational studies and when nobody working on clinical trials would consider it. But now – after the introduction of the estimands framework – this becomes part of every statisticians toolkit. Today, we have one of the world leading experts in this field as a guest – Miguel Hernan. I’m talking with him about:

What is casual inference?
How can this help generate and analyze data to identify better strategies for the treatment and prevention of both infectious and noninfectious diseases?

In today’s episode, we will be diving deep into this interesting topic and talk specifically about the following: