The Effective Statistician - in association with PSI

The Effective Statistician - in association with PSI

The Effective Statistician - in association with PSI

5 Steps to teaching statistics well

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How do you create and teach effective and moving content that your audience will pay attention to and add great value to them?

Teaching is really important to us statisticians because we need to explain stats and data all the time to our colleagues, within stats or outside stats.

Mentor others to be mentored - Manatee Mentor

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Is having a mentor really beneficial?
What is Manatee Mentor?
What are its key features?
How can this predict your professional success?

Manatee Mentor is an AI-powered platform to make mentoring inclusive, affordable and accessible to all. It can match or unmatch with your mentor and mentee through its constantly learning AI algorithm. You can choose your topic of mentoring, preferences, and find your perfect match in few clicks.

The Data Project

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What is the data project?
Why are data management programs a strategic imperative?
Why do they fail?

Usually a data management project starts with a change of perspective in the organisation, especially from senior leaders. To make such a project happen, data leaders must be familiar with the principles of change management, learn to speak the language of business, and be excellent listeners to craft and communicate an interesting and realistic vision to release value from information.

Taking on leadership roles outside of statistics

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Today, we have a special guest, Shanti. Learn while she shares with us her vast experience in the pharmaceutical industry collected over 25 years. She held various positions inside and outside of statistics organization.

The analysis of adverse events done right - SAVVY

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When I started my career as a statistician in the clinical world, I was wondering about safety analysis. I thought it's always the same - count the patients with an event - job done! Then just repeat.

But it's not that simple, especially in more complex situation where you have different follow-up times. Then the patients that stay longer on treatment as they benefit from it, also get more adverse events. Naively counting the patients with events or the number of events may make the beneficial treatment look worse. So, how can you account for this?

R vs SAS - which is the better tool in pharmaceutical research

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R versus SAS - which is a better tool?

Today, we talk about a controversial topic. If you go online and look into social media, you'll find a lot of data scientists that talk about R versus Python. In medical and clinical research, it's more about R versus SAS.

For this discussion, we have Sam Gardner and Thomas Neitmann representing SAS and R, respectively.

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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