The Effective Statistician - in association with PSI

The Effective Statistician - in association with PSI

The Effective Statistician - in association with PSI

Helping statisticians having a bigger role

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Can you really do a bigger role?
Did you have a moment in your career, where you were thinking that you as a statistician is put in a box or labelled in such a way that limits your influence?

Christmas episode 2019

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During this episode, we will review some of the highlights from this year. It’ll help you to remember a couple of lessons learned or inspire you to listen to some episodes (again).

Baseline testing

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I once reviewed tables for a randomized study and noticed several comments about testing the baseline characteristics. The commenters were arguing which test would be best to test for the differences between the 2 randomized groups at baseline.

This made my first angry about the wasted time and then curious about the reasons, statisticians still do this.

In today's episode, Benjamin and I discuss some backgrounds for baseline testing in randomized studies.

Listen to this episode, share it with others who might learn from it, and be an effective statistician!

Seeing through the mist - consequences of decisions in phase II

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What's interesting about the early phase?
What are the typical decisions for phase II?
Speaking about a new indication, how do you see decisions are being made across the industry?
How should we think about phase II studies in this setting?
What statistical approaches do we have to formulate this thinking?

CALC Episode 4: Be Significant: What Employers Look for

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So, you want to be a Statistician in the pharmaceutical industry, a key player in drug research and development, but you are wondering what employers look for in the perfect candidate?

PSI CALC are here to share their top tips on being the ideal candidate, what to expect when you apply and to share their ideas of what the industry is currently looking for in a graduate statistician.

How to leverage time-boxing to reduce overwhelm being a statistician

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Do you know how to make a good to-do list?
Do you know how to set priorities versus time it takes?
Do you have a problem with over-committing?

One of the most effective skills you can have in life is effective time management. According to Michael Hyatt: "What gets scheduled gets done. " If you're not managing your time well, there's no way you're going to reach your goals at work and the life outside of it.

Marc Zao-Sanders - time boxing as the number 1 ranked tool for productivity among 100 tips

How to get into flow and reach peak performance

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Do you want to have fun at work?
Do you want to experience satisfaction?
Do you want to get things done at work?

Getting into flow is about these things. Today, we will speak about a research on how to get into the flow and reach your peak performance.

CALC Episode 3: Get a Head Start and Map Your Route to a Career in Drug Development

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So, you’re considering pursuing a career in Statistics but you’re not quite sure. You may be at Uni studying a BSc in Mathematics or a related field, or you may be considering a change in career. How do you get from where you are now to being a Statistician in the medical industry? What are your next steps?

This episode will cover what to start thinking about now, where you can get further advice on MSc courses and funding and where you can search for jobs.

About this podcast

The podcast from statisticians for statisticians to have a bigger impact at work. This podcast is set up in association with PSI - Promoting Statistical Insight. This podcast helps you to grow your leadership skills, learn about ongoing discussions in the scientific community, build you knowledge about the health sector and be more efficient at work. This podcast helps statisticians at all levels with and without management experience. It is targeted towards the health, but lots of topics will be important for the wider data scientists community.

by Alexander Schacht and Benjamin Piske, biometricians, statisticians and leaders in the pharma industry

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