The Effective Statistician - in association with PSI

The Effective Statistician - in association with PSI

The Effective Statistician - in association with PSI

Current trends in data science for pharma – findings from a qualitative survey and what we should do about it!

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Do you want to learn where the health sector might be heading in terms of data science?

Do you understand the opportunities and barriers in terms of the application of data science?

Are you prepared to learn the individual skills needed for these changes?

Then this interview with Ursula from Cytel provides you with the relevant answers.

What you can learn about communication of statistics from a statistician working for the BBC

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It's surely not the norm, that a statistician from the pharma sector ends up working for BBC. But Robert Cuffe has taken this step and needs to explain statistics to non-statisticians on a daily basis.

In this episode, he shares the different methods he’s using. We also dive into common pitfalls, that we as statisticians trap into.

Finally, we also learn, how we can improve our publications to make sure, that the science is reported correctly in the broader news.

What is TransCelerate and how it will impact your work tremendously

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Do you know that TransCelerate does for statisticians?
Do you write study protocols, analysis plans and programming specifications as individual documents noting, that there’s lots of redundancy?
Do you wonder, if there’s a more efficient was in-line with what regulators want?

Pepa Polavieja will provide you with answers to all these questions in this episode.

Skills you need to become a better leader!

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In the third part of the leadership series with
Gary Sullivan, we talk about:
- What skills does it takes to influence as a statistician?
- When it’s about driving change - what are the rational, operational, and emotional challenges?
- How do I get a "seat at the table" and have more influence?

Understanding leadership deeply: trust, relationship, influence for statisticians

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n this second part of the interview with Gary, we speak about the building blocks of leadership without authority from a statistician’s perspective.

We cover questions like:
- Is influence the same as power?
- What is the role of trust, what are the different elements of trust and how can we improve trust being technical experts?
- How can we build relationships at work, that help us to influence change?
- Is influence through relationships only relevant “sideways” or also “upwards” and “downwards”?
- How do we know, with whom we need to invest in building relationships?
- Is there a way of assessing how good our relationships are?

Impress your supervisor by being super prepared for your goal setting discussion

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With some nice drinks in our hands, we welcome the new year and commit to new year resolutions. We set our personal goals and pretty soon, we’ll have discussions at work about business related goals.

This episode will help you to not only be ready for the discussions with your supervisor, but also give you tools to reach the goals with better probability than the usual vague new years resolutions.

Best of the episodes from 2018 and outlook for 2019

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Happy Christmas! This episode is the last one in 2018 and we will distil the best of the last 40 episodes for you in this Christmas edition of the podcast.

It has been anamazing journey and we will talk about the challenges and the learnings as well as the achievements of the podcast itself. Thus, you’ll get a behind the scenes look into the podcasting work.

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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