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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 wi ...
 
Are you a researcher or data scientist / analyst / ninja? Do you want to learn Bayesian inference, stay up to date or simply want to understand what Bayesian inference is? Then this podcast is for you! You'll hear from researchers and practitioners of all fields about how they use Bayesian statistics, and how in turn YOU can apply these methods in your modeling workflow. When I started learning Bayesian methods, I really wished there were a podcast out there that could introduce me to the me ...
 
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show series
 
Interview with Thomas Neitmann Join us while we discuss about the following points: Our first experience with R versus SAS How long someone completely new learn R versus SAS? How easy is R versus SAS when managing day-to-day basis tasks? How R versus SAS community and events help? How do updates work with R versus SAS? How easy is it to submit stud…
 
Interview with Irene de la Torre Arenas Join us while Irene and I talk about how animations and movements can create a lot of advantages such as the following: Portray data directly through motion (what Irene defines as ‘data as motion’). This is an example of it. Interpolate through data values (‘motion as an interpolation of data values’). Gapmin…
 
Let’s think Bayes, shall we? And who better to do that than the author of the well known book, Think Bayes — Allen Downey himself! Since the second edition was just released, the timing couldn’t be better! Allen is a professor at Olin College and the author of books related to software and data science, including Think Python, Think Bayes, and Thin…
 
Listen to this episode while we also I discuss this interesting book entitled Ich arbeite in einem Irrenhaus or I work in a mad house (in English) which can help us be happier at work. From feelings to understanding: Verbalize your feelings. What is stupid or bad about your company? Go into the details and don’t stop with generic statements. From n…
 
Join Sam and I while we discuss the processes of determining the right control strategy for a manufacturing process: How to determine the control strategy for the manufacturing process? How to demonstrate the characteristics of control strategy? What is the process flow that works? How a complex system work? How to understand and optimize control s…
 
We all know about these accidental discoveries — penicillin, the heating power of microwaves, or the famous (and delicious) tarte tatin. I don’t know why, but I just love serendipity. And, as you’ll hear, this episode is deliciously full of it… Thanks to Allison Hilger and Timo Roettger, we’ll discover the world of linguistics, how Bayesian stats a…
 
Book review with Stuart McGuire Join us while we talk about this practical guide which has ten effective principles—counterintuitive tactics and strategies—you too can use to become more persuasive in both your professional and personal life: How to become the smartest person in any room How to quickly establish rapport How to create trust with tac…
 
Leadership is multidimensional. It depends on lots of different skills like communication, being a good team player, building trust and relationship, negotiating conflicts, and more. The kind of leadership that I am talking about is not supervising other people or the administrative type of leadership, but it's a type of cross functional influencin…
 
Episode sponsored by Tidelift: tidelift.com It’s been a while since we talked about biostatistics and bioinformatics on this podcast, so I thought it could be interesting to talk to Jacki Buros — and that was a very good idea! She’ll walk us through examples of Bayesian models she uses to, for instance, work on biomarker discovery for cancer immuno…
 
Interview with Sam Gardner Statisticians support more than just clinical trials in R&D. Some non-clinical areas where statisticians contribute to drug development include: Discovery High throughout screening of drug candidates Genomics Early Phase Safety studies (animals) Animal models for efficacy In-vitro Analytical methods to predict in-vivo per…
 
Interview with Sam Gardner What is non-clinical pharmaceutical statistics? Join us while I talk about this topic with Sam and dive deeper into these points: Non-clinical statistics is the application of statistics in pharmaceutical R&D and manufacturing and that is not directly related to planning and analyzing clinical trials. There are numerous s…
 
Episode sponsored by Tidelift: tidelift.com Imagine me rapping: "Let me show you how to be a good Bayesian. Change your predictions after taking information in, and if you’re thinking I’ll be less than amazing, let’s adjust those expectations!" What?? Nah, you’re right, I’m not as good as Baba Brinkman. Actually, the best to perform « Good Bayesian…
 
Interview with Steve Mallett and Bodo Kirsch The Wonderful Wednesday Webinar series was introduced in an earlier episode. In this episode we dive deep into what has happened over 1 year of the Wonderful Wednesday Webinars. This great series on visual analytics helped us to learn how we can use visualizations of data in our development process and b…
 
Interview with Sam Gardner Let's welcome Sam Gardner as our new co-host for our podcast show! In his first episode as a co-host, we spend some time getting to know more about him while he answers the questions below: How did he learn about this podcast and get connected to it? Why is he on the podcast & what are his plans for future collaboration? …
 
Episode sponsored by Tidelift: tidelift.com I don’t know about you, but the notion of time is really intriguing to me: it’s a purely artificial notion; we humans invented it — as an experiment, I asked my cat what time it was one day; needless to say it wasn’t very conclusive… And yet, the notion of time is so central to our lives — our work, leisu…
 
Interview with Dooti Roy Join Dooti and I while we discuss the surprising opportunities of smartphone apps in clinical studies and discuss the following questions How do you see the role of smartphone apps in clinical studies developing? What additional features become possible with such applications? Where does this impact studies? How will this c…
 
Join us while we talk about the following points: Different styles of virtual conferences Just recorded sessions Interactive sessions Community events Get familiar with the software and the app if applicable Use the chat functionality intentionally Know the conference details Who’s attending Who’s there to talk to Any profile to set up? Make sure i…
 
Episode sponsored by Tidelift: tidelift.com I bet you already heard of Bayesian nonparametric models, at least on this very podcast. We already talked about Dirichlet Processes with Karin Knudson on episode 4, and then about Gaussian Processes with Elizaveta Semenova on episode 21. Now we’re gonna dive into the mathematical properties of these obje…
 
Interview with Diana, Nick, and Rhys Listen to this episode while we dive deep into these advantages of joining this program: Transition from graduate to effective member of a clinical biostatistics team Depth technical training Training scheduling Fully fledged Statistician or Programmer and permanent employee Access to a broad range of additional…
 
Interview with Dooti and Qiqi Join us and learn more while we talk about the following points: Why have you started the BI Conn statistics academy? Who is the target audience for this academy? How has the academy evolved over time? What are your plans for 2021? Reference: Summer Academy website: https://events.stat.uconn.edu/BI-UConn/ Short video o…
 
Listen to this episode while I discuss the following important points: Believe in yourself Your experience Your education Your intent to move the project/the company forward Do you need to state these to build trust? What is the problem? Tell a story Evoke emotions Reference to the webinar about presentation skills What’s in it for your business pa…
 
Episode sponsored by Tidelift: tidelift.com One of the most common guest suggestions that you dear listeners make is… inviting Paul Bürkner on the show! Why? Because he’s a member of the Stan development team and he created BRMS, a popular R package to make and sample from Bayesian regression models using Stan. And, as I like you, I did invite Paul…
 
Interview with Aiden Flynn from Exploristics He has invested an enormous amount of time to leverage simulations for understanding the designs of studies and development programs. In this episode, I discuss the following questions with him: Why is trial simulation necessary? What design features do you assess? How do you get a good stability in term…
 
Learn about our Leadership Program We designed this program for statisticians and data scientist to strengthen your leadership skills so you can maximize your impact at work even if you don’t have direct reports.The Effective Statistician Leadership Program, a modular program of self-learning parts and moderated small group discussions, helps all s…
 
Interview with Stuart McGuire Join us in this episode while we discuss these interesting points: Author Prof Steve Peters Psychiatrist working on performance and function of brains Helps business but also sports like FC Liverpool Chimp vs human How this compares to Kahneman: thinking fast and slow And then there is the computer and the goblins with…
 
Episode sponsored by Tidelift: tidelift.com We already mentioned multilevel regression and post-stratification (MRP, or Mister P) on this podcast, but we didn’t dedicate a full episode to explaining how it works, why it’s useful to deal with non-representative data, and what its limits are. Well, let’s do that now, shall we? To that end, I had the …
 
Interview with David Kerr Join us while we discuss these questions with David and learn more about the following points: How did David get to this position as a biostatistician at a CRO? How is it made sure that information from the DMC stays within the DMC? What is David's most challenging and most exciting experience he had while working in a DMC…
 
This trade-off is universal: It has been shown that a model that is asymptotically unbiased must have unbounded variance” In this episode, we dive into 3 examples for it: Subgroup analyses Cluster analysis Regression analysis Reference: Wikipedia - Variance trade offBy Alexander Schacht and Benjamin Piske, biometricians, statisticians and leaders in the pharma industry
 
How do people choose their career? How do they change jobs? How do they even change careers? These are important questions that we don’t have great answers to. But structured data about the dynamics of labor markets are starting to emerge, and that’s what Ben Zweig is modeling at Revelio Labs. An economist and data scientist, Ben is indeed the CEO …
 
Interview with Jenny Devenport Join us while Jenny and I talk about these important reflections and answer the important following points: 1. Get comfortable with ambiguity. 2. Manage your energy. 3. Being right is not enough. 4. It’s about impact. 5. Academia or industry? Here's the link to the LinkedIn article, which we refer to in the episode ht…
 
Interview with Nancy Carpenter However, we know that there are thousands of ‘unsung heroes’ around the world, working in different capacities on different clinical trials to make the breakthrough. It has been a herculean collective effort. Of course, while this is a particularly high stakes situation, seeing an impact on patients’ lives motivates u…
 
When explaining Bayesian statistics to people who don’t know anything about stats, I often say that MCMC is about walking many different paths in lots of parallel universes, and then counting what happened in all these universes. And in a sense, this whole podcast is dedicated to sampling the whole distribution of Bayesian practitioners. So, for th…
 
Listen to this episode and learn about the 5 steps to present successfully to your upper management: Determine your goal Think about your audience Start with the conclusion Be simple but accurate Have the stats as backup and explain them in easy terms, focusing on the most important parts. Train yourself to become a great communicator. Listen to th…
 
Interview with Swarna Thus, I'm thrilled to talk with Swarna Khare about this topic. Swarna is a long-term listener of the effective statistician and today, it is a great opportunity for her to share with us the ways to think and act more strategic. We answer the following important points: The role of the branding of statistics and how it led Swar…
 
Interview with Paolo Eusebi Interestingly, the visualization of uncertainty - one of the primary forms we use to communicate it - is a rather unknown field. In this episode, I'm very excited to speak with Paolo Eusebi, who has done research in this field to answer the following questions: What can we learn from examples outside of medical research?…
 
Interview with Beth Manning So today, I'm glad I have a great colleague with me who is an expert on change management and has helped me a lot to drive changes within a big organization. Listen to this episode and learn the following points: Key steps one should consider when driving change Common problems people step into Skills to learn to become …
 
I don’t know if you noticed, but I have a fondness for any topic related to decision-making under uncertainty — when it’s studied scientifically of course. Understanding how and why people make decisions when they don’t have all the facts is fascinating to me. That’s why I like electoral forecasting and I love cognitive sciences. So, for the first …
 
It’s funny how powerful symbols are, right? The Eiffel Tower makes you think of Paris, the Statue of Liberty is New-York, and the Trevi Fountain… is Rome of course! Just with one symbol, you can invoke multiple concepts and ideas. You probably know that symbols are omnipresent in mathematics — but did you know that they are also very important in s…
 
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