What can we do about indirect comparisons to make it better and more efficient rather than using the usual technique?
What are the indirect comparisons in terms of the efficacy of different drugs?
What experiences have you had when the type of one-to-one approach is better?

How are safety analyses different from efficacy analyses?
What does validation and quality control mean for interactive visualization?

Over recent years, a lot of interesting things happened around safety analyses and visualization. They help us to better understand our safety data and detect safety signals. Wei and colleagues have recently published an article about these topics.

Have you ever thought of having an additional or changing career?
What are the things you must prepare for when considering this?

Today, we interview Lucy on how can statisticians create an impact beyond statistics. Lucy has a very inspiring career, and she has started as a statistician and got further responsibilities.

For your career, have you ever thought about what mindset you should adapt to?
What do you think marks a “successful” career?
What will help you understand in which direction your career should go?

Diana Stuart, who is a Senior Manager in programming, shares with us her thoughts, lessons, and her vast experience in this field and what we can do to create a robust career with all the surrounding changes.

Given the pandemic, this episode comes timely as it's a challenge to manage time while working at home.

But even after the pandemic, this challenge of getting most out of your time will not end.

Were there times you think about creating something bigger than what you currently have?
Are you equipped and confident enough to start implementing strategies and plans for future service enhancement?

Imagine you need to choose a comparator for a head-to-head study. How do we usually approach it?

- Debate
- Meetings
- More meetings with other stakeholders
- Creating a slide deck
- Revising the slide deck
- Getting into time pressure
- Getting conflicting feedback
- Let’s just make a recommendation and find the data that supports this

Have you been sitting through boring presentations?
Have you felt that the presenter lost the audience in seconds?
Have you found yourself after a presentation thinking - so what?

When you are presenting, you don't want the audience to feel this way. But how can you deliver a knock-out presentation and wow the audience?

As statisticians, we often need to bring terrible news to the team. We’re the first to know, that a study didn’t reach the primary endpoint, or that safety analyses showed some new signals, or that some analyses contained mistakes, that need to be corrected.

How do you deal with such situations?