

The Effective Statistician - in association with PSI
Alexander Schacht and Benjamin Piske, biometricians, statisticians and leaders in the pharma industry
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.
Episodes
Mentioned books

Mar 1, 2022 • 53min
Things we would like to have known before we started with RWE
Interview with Rachel Tham
The things we are discussing:
The index dateExposure outcome association and order of operationsWords to approach with cautionCommon pitfallsManaging the project
Listen to this episode and share this with your friends and colleagues!

Feb 22, 2022 • 31min
How to start your week to win and not to become overwhelmed
Join Sam and I while we talk about the following advice on how to start the week right:
Don't dive directly into meetings or emailsReview your annual goalsReview your achievements from last weekStart/stop/change/continueReview existing to-dos and open-loopsReview the upcoming week's eventsPlan your weekly big 3Clean up your calendarPlan your daily big eventsWhat things that can waitHave an invite in your calendar with these steps to create a routine or use the full focus planner
References:
This is your life! This is an older podcast by Michael Hyatt in which he talks a lot about these topics. He has also some new podcasts which you can find here: https://fullfocus.co/Link to the Full Focus PlannerFree to Focus book
Listen to this insightful episode and share this with your friends and colleagues!

Feb 14, 2022 • 24min
Help with your skills rather than with your money
Interview with Karrie Liu
Stay tuned as we talk about these helpful points:
How did Karrie get into helping charities with data scienceWhat are typical challenges charities haveWhat are the differences of other organisations which provide help to charities?What should a statistician/programmer or data scientist do to help you move forward?
More about Karie:
Hypatia Analytics
Karrie Liu
Listen to this episode and share this with your friends and colleagues!

Feb 7, 2022 • 29min
What kind of leader do you want to be? Understand your leadership principles
Join us while we will talk about these following points:
When have you learned about personal leadership principles?Why are they important to have?What should they be about and what not?How do you use them?How did you establish yours?
See also episode https://theeffectivestatistician.com/my-personal-leadership-principles/
Listen to this episode and share this with your friends and colleagues!

Feb 1, 2022 • 25min
Challenges and opportunities of combining RWE and RCT data
Interview with Thomas Debray
Join our discussion today as Thomas and I talk about this.
Key references:
Debray TPA, Moons KGM, van Valkenhoef G, Efthimiou O, Hummel N, Groenwold RHH, et al. Get real in individual participant data (IPD) meta-analysis: a review of the methodology. Res Synth Methods. 2015 Aug 19;6:239–309.Debray TPA, Riley R, Rovers M, Reitsma JB, Moons K, on behalf of the Cochrane IPD Meta-analysis Methods group. Individual Participant Data (IPD) Meta- analyses of Diagnostic and Prognostic Modeling Studies: Guidance on Their Use. PLoS Med. 2015;12(10):e1001886.Debray TP, Schuit E, Efthimiou O, Reitsma JB, Ioannidis JP, Salanti G, et al. An overview of methods for network meta-analysis using individual participant data: when do benefits arise? Stat Methods Med Res. 2018;7(5):1351–64.Nguyen T-L, Debray TPA. The use of prognostic scores for causal inference with general treatment regimes. Stat Med. 2019 Jan 16;38:2013–29.Sarri G, Patorno E, Yuan H, Guo J (Jeff), Bennett D, Wen X, et al. Framework for the synthesis of non-randomised studies and randomised controlled trials: a guidance on conducting a systematic review and meta-analysis for healthcare decision making. BMJ EBM. 2020 Dec 9;bmjebm-2020-111493.
Listen to this episode and share this with your friends and colleagues!

Jan 31, 2022 • 15min
10 reasons to submit a poster for the PSI conference!
Today, I am sharing with your the 10 reasons to submit a poster for the PSI conference:
Give back to the community on your experienceIncrease your visibility within your companyIncrease your visibility outside your companyImprove your CVImprove your expert statusGet an additional reason for attending the conferenceGet in touch with others at the conferenceGet feedback on your work to potentially write a corresponding paperGet to do the 1-minute pitch for your posterImprove your communication skills
Listen to this episode and share this with your friends and colleagues!

Jan 25, 2022 • 46min
Beyond SOPs - What is quality?
Interview with Gary Sullivan
During my early years, I was overwhelmed by so many trainings, SOPs, and processes. Only after my later years I learned what quality is really about. Gary fundamentally helped me and many others have a very different and more insightful/helpful/easy perspective about this topic.Listen and learn while we talk about the following points:
During your first years in the industry - how did you think about quality? What did it mean to you?What are the key parts of quality today for you?How does this understanding of quality differ from being compliant to SOPs?Have you seen an example where a person was compliant to SOPs but didn't deliver quality?How can we increase quality as defined in this episode in our organization?
References:
Demmings book "Out of the crisis!"
The 14 points of Demming!

Jan 18, 2022 • 40min
What are the opportunities for data science in pharma?
Interview with Dacheng Liu
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:
How did you get into data science and what does "data science" mean to you?What are typical data science methods that we are not yet using enough?Which areas do you think, have currently the biggest potential to benefit from such methods?Which case studies do you have in mind?Which areas will become important in the future in terms of data science?
References: https://theeffectivestatistician.com/wp-content/uploads/2022/01/References.docx

Jan 11, 2022 • 40min
How Agustin Calatroni leveraged the Wonderful Wednesday Webinars to create better data visualisations
Interview with Agustin Calatroni
Stay tuned while we dive into the following interesting points:
How he got interested in data visualisationWhat were the key things he wanted to communicate about the mixed modelWhat him to submit so regularly the data visualisations to the Wonderful WednesdayWhich submission is he most proud of and whyWhat has he learned from the Wonderful Wednesday Webinars so farWhat does he think about the future of data visualisations in our industry
More about Agustin Calatroni
Listen to this interesting episode now and share this with your friends and colleagues who might learn about it!

Jan 11, 2022 • 26min
Replay: 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!