The Effective Statistician - in association with PSI

Alexander Schacht and Benjamin Piske, biometricians, statisticians and leaders in the pharma industry
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Nov 16, 2021 • 52min

Statistical Engineering

Interview with Roger Hoerl, Ron Snee, and Geoff Vining In today's episode, Sam Gardner together with Roger, Ron, and Geoff will dive deep into Statistical Engineering and will discuss about the following points: Definition of Statistical Engineering (SE)How did the idea of Statistical Engineering come aboutExamples of what SEExamples of where it has been applied and if it's gaining tractionIs SE an idea and a practice, or is it a profession, or both?How does SE compare to the role/profession of “statistician” and/or “data scientist”Does SE apply to statisticians working in pharmaceuticals, other Industries, or Government?What is the International Statistical Engineering Association (ISEA)?What are the goals of ISEA and what initiatives are sponsored or supported by the association?Who should join the ISEA (and how to join)? Listen to this episode and share this with your friends and colleagues!
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Nov 9, 2021 • 38min

How to combine a control arm with RWE data

Interview with Margaret Gamalo Join us while we talk about the following interesting points: Propensity scoringFind and match dataFind the right testamentAdjust for Baseline differences and post baseline differencesImportance of presenting research and that leads to lots of good opportunities Listen to this episode and share this with your friends and colleagues!
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Nov 2, 2021 • 25min

Why and how to build buffer into your plans

The answer comes with the buffer in the system. We always have disturbances in terms of unplanned events in complex systems - like the German trains. If there isn’t enough buffer built in, these minor problems lead to a break-down as the system cannot adjust. Consecutive problems eat up the little buffer and delays accumulate. Listen to this episode to learn about ways to build in buffer!
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Oct 26, 2021 • 28min

How I'm training others in improving their visualization skills

Today, I'll be sharing some of my insights, tips, and tricks on how to do that in an effective way. Set expectationsWhat do they think they will get in the training?What are their goals?Start with a case storyShow the value of visualizationSpeak about the difference between explanatory and exploratory data visualizationWhere do they mostly work with?Create a connection with the audienceSpeak through an exampleAsk them to sketch the data by using pen and paperCreate an emotional triggerRepetition improves qualityProvide self-evaluationSupportive FeedbackEliminating clutterReview the learningsReflecting on what they have learned Listen to this episode and share this with your friends and colleagues!
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Oct 19, 2021 • 27min

Business focus or self development? Make it both

Here are some specific tips: How you can align both Be aware about your own long term goals Don’t think in specific positions Think what you want to do What do you need to improve? Think about your strength first What are you passionate about?What are the needs on the level you want to get to?Know your rate limiting weaknessesBe clear about your company and department goals? Your supervisors goals!How do your ambition fit?What are your personal company goals?Can you get on the right project?What is possible?Have a discussion with your supervisor and your mentor Speak about the win for the supervisor and the department.What initiatives or specific projects could you become involved in?What opportunities exist outside of your company?Does it make sense to work in professional associations like PSI or ASA and bring knowledge back? Listen to this episode and share this with others who might learn from it!
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Oct 13, 2021 • 15min

Preparing for a tough conversation

In this episode, I'll be giving you some tips on what can you do to be prepared for it: Know your data inside-outKnow the set-upKnow the stakeholdersKnow the written and unwritten rulesHave a very clear goalDisplay confidence Listen to this episode and be prepared for a tough discussion. Share this with your friends and colleagues who might learn from it!
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Oct 5, 2021 • 44min

Statistical Unicorns

Interview with Ena Bromley Listen while Ena and I discuss how to improve one's career and how to make good choices that help you become more effective and have more impact at work. How Ena startedWhat are the statistical unicornsHow to become a better communicatorSharing of experience about an important presentationKey lessons learned from her career Reference: Dr. Ena Bromley's LinkedIn Profile Listen to this episode and share this with your friends and colleagues!
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Sep 27, 2021 • 40min

Can introverts be good negotiators?

Interview with Lousin Mehrabi It is important to be an effective negotiator as negotiation is all around us all the time. Whether it's about daily life or making decisions at work as statisticians. But at as experts in this field (and being mostly introverts), we need several skills to develop and grow our negotiation skills. Today, I talk with Lousin Mehrabi who is a negotiation expert. Join us while we talk about the following points: How did Lousin started her careerStrengths of introverted people in negotiationsListening as a major important skill to developHandling different emotions while in negotiationGetting great intel References: Lousin Mehrabi's Linkedin Profile Life Negotiations with Lousin Mehrabi's Podcast Listen to this episode and share this with your friends and colleagues!
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Sep 20, 2021 • 47min

Dark Data: Why what you don’t know matters

Interview with David Hand In this episode we focus on how you can grow in your effectiveness as scientists and leaders.  With that in mind, we like to dive into this concept of Dark Data and how, where, when, why this impacts decision making in the pharmaceutical industry. How dark data is an issue in the area of healthcare, particularly pharmaceutical R&D, clinical trials, manufacturing, marketing, and health technology assessments?What's the taxonomy of dark data?Where might statisticians/data scientists have their own “blind spots” related to dark data?From the standpoint of “effectiveness”, what is Davids advice to statisticians when it comes to this matter of Dark Data? Reference: Dark Data Listen to this amazing episode and share it with your friends and colleagues! https://en.wikipedia.org/wiki/David_Hand_(statistician)  https://www.imperial.ac.uk/people/d.j.hand  CV:  https://www.imperial.ac.uk/people/d.j.hand/cv/CV%20for%20Imperial%20website%2020200222.rtf
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Sep 14, 2021 • 44min

What can we learn from journalism

Interview with Irene de la Torre Arenas We talk about the following interesting points: Who is your audience? Will they understand it?Is it accessible e.g to color blind people?What is your message?Use chartsCurating informationInclude aggregated dataUse a specific person as an exampleData transparency to build trustEngaging data visualizations Irene de la Torre Arenas She is a data designer specialized in visualizing information in understandable and meaningful ways. She works as a Visualization Lead at UCB since February 2021. Before her current role, she worked at BBC News, where she was part of the UX&Design and the Data Journalism teams, and at the MIT SENSEable City Lab. She has also collaborated with other media and advertising organizations in Spain. In 2017, she gave Data Visualization classes at the MIT School of Architecture. One year later, she designed the didactic program Communicating with Data that MIT developed for the Dubai Institute of Design and Innovation. She graduated from the MFA Information Design and Visual Communication at Northeastern University. Her work has been recognized in the Kantar Information is Beautiful Awards and the WAN-IFRA European Digital Media Award. Listen to this episode and share this with your friends and colleagues!

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