Do you feel overwhelmed by all the tasks?
Do you think you are missing to get the big things done as you are drowning in day-to-day work?
Are you frustrated about going home in the evenings feeling like you have not accomplished what you wanted?

Why do we need to innovate?
What are the drivers for innovation?
How much time would you invest in something if it made an awful task more bearable?

I really enjoyed this interview with Mike as we talked about his award-winning presentation.

Napoleon Hill is an interesting author and quite controversial but still good content to reflect upon.

In this episode, I want to reflect on:
Why people fail in their careers?
What hinders us from getting to the career goal set we have?
How can we avoid doing the same thing in our own life?

Do you currently run an initiative?
Do you want to get support or budget for an initiative?
Do you want to change the design or analyses of a study?
Do you need to run it past a committee or a senior person?

In this episode, I talk about the 4 important advice if you want to engage with key people in your organization

Today, I am talking about a topic that is very close to my heart. I want us, statisticians, to have an impact. I truly believe that if we make better decisions in our day-to-day jobs in our companies and organizations, then we can truly have a much bigger impact on the overall success of these organizations.

Why do you need personal leadership principles?
How can you refine and reflect them?
What kind of leader do you want to be?
Is it possible to be a leader even without a title?

I will talk about personal leadership today and this is not being a leader by position, but by principle.

To give you an update, I'll be sharing with you what I have learned from the past year about visualization as I worked a lot of these - the exploratory and explanatory visualization.

What are typical meetings you would be invited to as a statistician?
- Study meeting
- Project meetings
- Team meetings

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.