Innovation

How do you start your week?
Do you just rely on yourself or do you use some tools to organise yourself?

I learned a lot of productivity hacks from Michael Hyatt. I’ve listened a lot to his podcasts and I used some of his recommended tools to make my plans work such as the Full Focus Planner which is kind of a calendar and a to-do list together with goal setting tips and more.

Join Sam and I while we talk about the following advice on how to start the week right:

Interview with Karrie Liu

There’s a lot of community charity work we can all do but there is not a lot of work where we can maximise our impact by using our specific skills as programmers, as statisticians, and as data scientists.

Stay tuned as we talk about these helpful points:

Interview with Thomas Debray

I’ve been working on RWE most of my career and the clinical trial data for a while now. And 20 years ago, we would have never thought about merging them together but there’s a lot of opportunities if we do this.

The recent advances in analytical methods for combining evidence from RCTs and non-RCTs, and the development of new frameworks for the inclusion of RWE in HTA have provided a greater insight on how issues around RWE uncertainty can be dealt with when estimating treatment effects for new technologies.

Join our discussion today as Thomas and I talk about this.

This year’s PSI conference will be face to face again.

I’m really excited for this. This is the best conference for statisticians that you can attend.

If you are working in health care industry, there is no other conference like this. Attend this conference and meet friends and create new social connections! And you submitting a poster for the conference would be best!

Today, I am sharing with you the 10 reasons to submit a poster for the PSI conference:

Interview with Dacheng Liu

What are typical data science methods that we are not yet using enough?
Which areas will become important in the future in terms of data science?

Today, I am interviewing Dacheng Liu from Boehringer-Ingelheim and talk about the different opportunities open for data scientists in the pharmaceutical industry and answer the different interesting points below:

Interview with Agustin Calatroni

Data visualisation is one of my favorite topics and today, I’ll be interviewing someone who has helped me understand about data visualisation for years.

Stay tuned while we dive into the following interesting points: