The Effective Statistician - in association with PSI

Interview with Shanthi Sethuraman Join us while we discuss the following points: What was her motivation for hiring peopleHow did she broaden her scope of work for the companyHow did she face resistance from people under herWhy did she move from one position to anotherHow to lead a team effectively

Interview with Kaspar Rufibach and Jan Beyersmann Join us while we dive deep into the following points: How do you solve the problem about varying follow-up times?What’s so special about the setup of the SAVVY collaboration?Where can people learn more about SAVVY? References: Stegherr et al (2021) Biom J  https://doi.org/10.1002/bimj.201900347Preprint https://arxiv.org/abs/2001.05709One-sample case: https://arxiv.org/abs/2008.07883Two-sample case: https://arxiv.org/abs/2008.07881Example R code (markdown file): https://numbersman77.github.io/AEprobs/SAVVY_AEprobs.html"Special Issue:Analysis of Adverse Event Data" Van Walraven see also LetterRelated paper on: "On estimands and the analysis of adverse events in the presence of varying follow-up times within the benefit assessment of therapies"Working Savvy

In this episode, Sam and I talk about the advantages of spending time in the non-clinical areas and other important points: Work on tremendous amount of variety with you can do with non-clinical statistics. Ability to have influence in the organizationBe able to build a larger network and improve soft skillsHave the love for engineering and physical sciences Listen to this episode and share this with your friends and colleagues!

Interview with Thomas Neitmann Join us while we discuss about the following points: Our first experience with R versus SASHow 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 study data to regulators using R versus SAS? Listen to this very insightful episode and share this with your friends and colleagues! Reference: Thomas Adventure Blog

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’). Gapminder, or the visualizations showing how PASI changes through time under different psoriasis treatments (see paper here).Guide viewers through the visualization (‘motion as a storytelling device’). Like in this visualization where every time the user interacts a transition happens.And captivate viewers (‘motion as a captivator’). All the examples mentioned above fit in this category. Further useful references: Visualization Special interest group blog: https://vis-sig.github.io/blog/Hans Roslings gapminder https://www.gapminder.org/Hans Roslings video with the BBC: https://www.youtube.com/watch?v=Z8t4k0Q8e8YWe feel fine http://wefeelfine.org/ (video about it here https://www.youtube.com/watch?v=NSGpOSgnfz8)Contiguous animated edge-based cartograms for traffic visualization https://vimeo.com/91325884 Wind map http://hint.fm/wind/ Earth https://earth.nullschool.net/ Coronavirus: How can we imagine the scale of Covid's death toll? https://www.bbc.co.uk/news/resources/idt-7464500a-6368-4029-aa41-ab94e0ee09fb Minimum Fleet http://senseable.mit.edu/MinimumFleet/ The state financial disclosure project https://web.northeastern.edu/disclosure-project/ Swimming World Record throughout History https://irenedelatorre.github.io/swimming-records/index.html  Movements and transformations of Irene (thesis) https://repository.library.northeastern.edu/files/neu:cj82qj439 Listen to this episode and share this with your friends and colleagues!

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 negative to positive: Don’t focus only on the negative things. What are all the great things? Colleagues, environment, perks, interesting projects. What would you love to do more. Does your supervisor know about it?Determine the trade-offs and decide: What’s on the positive side and what’s on the negative side. What are the weights? How bad or positive is it? Is the grass on the other site really more green? Consciously make a decision to stay, improve, change or leave. Reference:Episode 232 of Leben FührenI Work in a Mad House / Ich arbeite in einem Irrenhaus Listen to this interesting episode now and share this with your friends and colleagues!

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 strategy? Listen to this episode and share this with your friends and colleagues.

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 roomHow to quickly establish rapportHow to create trust with tactical empathyHow to generate momentum and make it safe to reveal the real stakesHow to gain the permission to persuadeHow to share what is fairHow to calibrate questions to transform conflict into collaborationHow to spot liars and ensure follow-through from everyone elseHow to get your priceHow to create breakthroughs by revealing the unknown unknowns Reference: https://www.amazon.de/-/en/Chris-Voss-ebook/dp/B014DUR7L2 Listen to this podcast and learn from it together with your friends and colleagues!

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 influencing where you lead others that don't necessarily report to you.To simplify it, we have developed these 5 levels of statistical leadership: Implementer - I do what you tell meAnalyser - Tell me what you want to analyse and I will suggest analysis and implement themConsultant - I understand your problem and I advise you what the team should doLeader - I understand your problem and I convince you what we should doEntrepreneur - I deeply understand the business and I foresee the changes in the business. I build an environment in which statistical leaders grow. Listen to this insightful episode and share this with your friends and colleagues who might learn from it!

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: DiscoveryHigh throughout screening of drug candidatesGenomicsEarly PhaseSafety studies (animals)Animal models for efficacyIn-vitro Analytical methods to predict in-vivo performanceMid-late phaseDetermining manufacturing process targets for clinical trial material (process definition)Determining the best formulation for a drug productDeveloping robust and accurate analytical methods to assess the quality of the drug substance and drug productAssessing the stability of the drug productDetermining the full manufacturing process and the control strategy to ensure high quality (process characterization), includingOperating RangesDetermining Critical Process ParametersDeveloping quality specifications for inputs (drug substance, raw materials) and outputs (drug product specifications) There are other areas that statisticians can contribute in non-clinical R&D.... basically anywhere you need to generate and evaluate data in R&D, you can find an application of statistics. Listen to this episode and share this with your friends and colleageus!