

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

Jan 20, 2020 • 34min
6 Effective leadership behaviours for statisticians
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The 6 behaviours we’re speaking about are:
Being confidently relaxedBeing decisiveBeing knowledgeableBeing friendlyBeing curiousBeing vulnerable
Here’s the link to the TED talk by Brene Brown, which was watched already over 44 million times (status November 2019):
https://www.ted.com/talks/brene_brown_on_vulnerability?language=en#t-68179
Listen to this episode and share it with others who might learn from it!

Jan 14, 2020 • 1h 4min
Helping statisticians having a bigger role
Interview with Andy Grieve
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Today's interview is surely beneficial to everybody. Andy Grieve has a lot of experiences across the industry as academia and other senior roles.
We also talk about the following points:
When did you realize for yourself, that statisticians should and can play a bigger role?How would the health sector look like, if statisticians would have considerably more influence - e.g. if all the pharma companies would have something like a chief statistical officer?What are the factors, that play in favor of statisticians gaining more influence?What do you see as the biggest barriers for statisticians gaining more influence?What would you recommend to other statisticians to achieve a bigger influence?Do you have different recommendations for statisticians earlier or later in the career?
Listen to this interview and listen to others who can learn from it!

Jan 6, 2020 • 40min
Overview of different indirect comparison approaches and methods
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We specifically address the following points:
Reasons for IC The classical Bucher approach vs matching adjusted indirect comparisons (MAIC)How to incorporated meta-analysesDifferent network-meta-analyses approaches (NMA): Bayes vs Frequentistsystematic literature reviews (SLR)Cochrane handbookTools
VisualizationsBias Precision vs biasPre-specified vs post-hocSecondary vs primary endpointsPower of ICPublish detailed analysesFurther references:PRISMA http://prisma-statement.org/PRISMAStatement/Earlier podcast episode:Network meta-analyses: why, what, and how
Listen to this episode and know more about Indirect Comparison now!

Dec 23, 2019 • 47min
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).
We will talk about the following:
LeadershipThe look beyond pharmaData scienceBenefit-RiskCareerNonparametricVisualizationProductivityAnd an outlook into 2020
Otherwise, enjoy your Christmas break and we’re taking a week off on New year's eve and start again on the seventh of January.
Listen to this episode and become an effective statistician! Merry Christmas!

Dec 19, 2019 • 41min
CALC Episode 5: You’re hired! How to Fail to be Rejected During the Interview Process
Application process and interview tips with Rhian Jacob and Rachael Loftus
Click here to get to the homepage of episode 5

Dec 16, 2019 • 23min
Baseline testing
A widespread but difficult to treat disease
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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!

Dec 9, 2019 • 52min
Seeing through the mist - consequences of decisions in phase II
Interview with Trevor Smart
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In this episode, Trevor and I discuss a case study to go through the step by step procedure of phase II. We also talk about the following points:
What are decision rules?How can we use prior elicitation?What and how do you come to a prior distribution and what is a design prior?What role do relevant and non-relevant differences play here?Any recommended reading?What does the listener need to do differently to make sure, better decisions are made in phase II?
Listen to this podcast now!

Dec 5, 2019 • 31min
CALC Episode 4: Be Significant: What Employers Look for
Want to know how to be the perfect candidate?
Click here to get to the homepage of episode 4

Dec 2, 2019 • 57min
How to leverage time-boxing to reduce overwhelm being a statistician
Batch processing and scheduling tasks to fight procrastination
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In today's episode, we discuss time boxing and batch processing. We also discuss how these following points work:
Schedule your tasks in your calendar Meetings with yourself Combination of smaller tasks Chunks of 15 minutes Can also be applied to meetings (strict agendas)
Benefits of the following:
Allocate the right amount of time in the right moments (e.g. emails after lunch and hard cognitive SAP writing in the morning) Save space for the important work but also for the necessary managing things (emails, some trainings, …) Avoids overcommitting Relieve your stress levels by having a good way of saying no Better planning on when things will get done really
Listen to this episode and share it with others who might learn from it!

Nov 25, 2019 • 29min
How to get into flow and reach peak performance
Alexander and Benjamin
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This is awesome for everybody, most especially, for brain workers. We also talk about the following points:
What is the flowWhy is it importantWhen are we inflowPersonal examplesThe sweet spot between challenge and skillThe role of passionThe role of undistracted time and placeHow to manage distractionsFocus on the tasks as long as possibleBe in the momentEnjoy the experienceKeep practicingAcknowledge the rewardsIndividual vs group flow
Listen to this episode now and be an effective Statistician!