The Effective Statistician - in association with PSI

Interview with Chrissie Fletcher Over the last years, leaders of statistical organisations across Europe are meeting each year to talk about how the community can be moved forward and other important topics affecting statisticians in the industry. In 2021 was another meeting and I'm talking with Chrissie Fletcher about some of the topics covered during this years meeting. Specifically we talk about: What has happened in the last 2 years in terms of career development and leadership skills and what will come in the future? Data Science vs biostatistics? Which are the areas typical clinical statisticians can learn from data scientists? Chrissie has an awesome personality. She has a lot of influence in the stats community and she has done lots of different presentations and is actively participating in different organizations. You will surely learn much more about the topics from the stats leadership meeting which is really relevant for you. Listen to this interesting episode and learn a lot. Share this with your friends and colleagues!

In our standard graphics, we usually present summary statistics only. The exception is the Kaplan-Meier plot showing also individual patients. Showing individual patients effectively tells us so much more about e.g. clusters, outliers, and extreme values. Join Benjamin and I while we dive deep into the following points: Show uncertainty Show actual number of patients Give a feeling for the evidence Connect to the physicians seeing the individual patients Increase transparency  How to create: Spaghetti plotSlope graphUsing jittering for categorical data or thickness based on numbers of patients ScatterplotsAnimations over time Heat maps Bar charts with symbols for the patients Kaplan-MeierCumulative distribution function Waterfall plots Flowing data example of categorical data over time (find it here: https://flowingdata.com/2015/12/15/a-day-in-the-life-of-americans/) Additional features: Highlight the group means Making it interactive with hover over or filters or selections Sorting is crucial Combination with charts displaying group differences  Solve problems:  Unbalanced treatment groups Avoid over cluttered graphsTime to read and explain complex graphsTime needed to create complex graphsProblems obscuring small but meaningful differences Listen to this interesting episode and share this with your friends and colleagues!

Interview with Paul Terrill Do you think, you have nothing to add to a statistical conference? Are you afraid of sharing your achievements? Do you wonder, why you should put in the effort on top of your day-to-day job? All these thoughts and questions will be addressed in this episode with Paul Terrill, the chair of the scientific committee of PSI.  Beyond the questions above, we will also talk about the logistics and practical tips on how to submit your abstract and to become a speaker at next years conference.

In todays episode, we will explore what knowledge you need to gain in order to decrease your frustration in this part. Specifically we will discuss: What difference exist and do not exist between business vs academia vs non-profit organisationsWhat is business acumen and how it helps you if you have it or blocks you if you don'tWhy to embrace politicsLearn about written and more importantly the unwritten rulesExplore the who knows whoDiscover the interests of people or functions or cross-functional teams Listen to this episode and share this with your friends and colleagues!

Interview with Olaf Kapinski Listen to this episode because I'm sure you'll learn quite a lot from this. More about him: https://leben-fuehren.de/olaf-kapinski/

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!

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!