The Effective Statistician - in association with PSI

Interview with Alberto Cairo Click this link to go to the homepage of this episode! We also discuss the following points: How tables compare to charts in terms of “lying”How to strike the best balance between showing the details and overwhelming the audienceWhat behaviours or habits should we develop to improve our visualizations References: References: Michael Friendly's Golden Age of Visualization paper Eurostat's Power from Statistics about uncertainty,The story about the "New Golden Age" Tools: DataWrapper Flourish iNZight Books: Show Me the NumbersStorytelling Data Visualization Business ProfessionalsTruthful Art Data Charts CommunicationElements Graphing Data William Cleveland Visual Display Quantitative InformationExploratory Data Analysis John Tukey Listen to this episode and share this with your colleagues!

Episode 2 Click this link to go to the homepage of this episode! In this second episode. I talk about how you can get a good visualization. Here are the following important tips: Importance of detailsCo-creation with the audienceExample launch slide setKOL engagmentMultiple review roundsTesting and refinementExample trial level safety analysesIterative approach - validation level - documentation - fast turn aroundsStart with pen and paper and develop together fastFocus on the larger topics like which plot to use first and then fine-tune to a more detailed level (examples for each)Use of colourTitleLabels, legendsAlignmentFootnotesSupporting textDashboards (examples of each)Filter and sorting optionsArrangement of multiple displaysHighlighting optionsHover over optionsDigging deeper optionsEncouraging and giving feedback Listen to this episode and share this with your friends and colleagues who might benefit from it!

Click this link to go to the homepage of this episode! I discuss my learnings, my reflection about this, and what is the meaning of this situation for us, statisticians, and more significant factors like the following: Hardly any tables out there, but lots of visualizations both interactive and explanatory - still most of our day-to-day jobs are providing tablesTables are not the key deliverables episodeInterview with Zak Skrivanek - a figure says more than 1000 tablesWonderful Wednesday episodeVIS SIG Get the data from many different sources - not just the one source at hand: e.g. the study currently working on; RWE, literature data, and other studiesMany misunderstandings on the sources of the data and comparisons across different sources (e.g. different countries) and then infer on the differences between the policy making in the different countries - where are the statisticians in the news explaining the numbers?We need more leadershipOur associations need to step up and become more professional and impactfulWe have a responsibility hereResponsibility for providing the numbers but also gives the background and advise on how to use the numbers - for example John HopkinsFAQ not really helpfulWhat can be answered here and what notHow reliable is the data?What are the strength and limitations?Any guidance on the use of the data?Do we train people on how to read our data? Or do we just through the tables over the fence for someone else to deal with it?Power of scenario simulations - Washington Post article - great to show conditional probabilities e.g. if you have different prior information in Bayesian analyses Listen to this timely episode and let me know what you think!

Interview with Jürgen Hummel Click this link to go to the homepage of this episode! In this episode, Jürgen and I discuss about the following points: Why is working from home beneficial for the statistician and the employerWhat tasks are especially suitable for working from homeWhat tips do we have to make working from home successfulHow to balance office time and home office time Learn more by listening to this episode and share this link with others who might be interested in working at home!

Episode 1 In today's episode, I review the different things you need to consider in creating an effective data visualization when presenting, which is the following: Who is the audience?Level of understandingKOLResearcherStatisticiansWhat is the medium?PresentationEmailPaperHow much time do you have?Who is the presenter? Is there one at all?Understand how your visualization is used downstream References:Storytelling with data - cole nussbaumer knaflicTamara Munzners book Visualization, Analysis and DesignDatastori.esBig book of dashboardsMakeover MondayD3 gallery on githubSpecial interest group VISData visualization society Listen to this episode to learn from it, and share it with others!

Interview with Deborah Ashby Click this link to go to the homepage of this episode! Despite her having a weak position in society at the time - being a nurse and a women – she still was very influential and achieved a lot. Many statisticians feel like they are not part of key decisions and don’t have the impact, they could have. What can we learn from her in this regard? References:Link to the homepage of the conference keynote speakers Link to the home page of the conference Listen to this episode and learn more!

Interview with Stephen Pyke Click this link to go to the homepage of this episode! In today's episode, Stephen and I discuss the PSI strategy day in 2019 and focused on the following points: My own journey - statistics and beyondHoliday reading - people respond to incentivesClinical development - Our main job: minimize value destructionAddressing the challenges of low productivityProblem that needs more attentionTime - Study enrollment time is often an important source of uncertainty in project plansQuality - Detecting site quality issues quickly is criticalCost - Trial costs are more likely to increase than reduceStatistics at the interface - Partnering with other disciplines Listen and learn from this episode now!

Interview with Rachel Phillips and Mark Baillie Click this link to go to the homepage of this episode! n today's episode, we talk about the advantages of using visualizations when analyzing and communicating data. We also discuss the following points: In today's episode, we talk about the advantages of using visualizations when analyzing and communicating data. We also discuss the following points: How our organizations prioritize visualizations?What we love about visualizations?What are the principles of visualization statisticians should know about?How to create interesting, innovative, and purposeful visualizations? Listen to this episode to learn more on visualizations and share this with others who might learn from it! References: Visualization special interest group (VIS SIG)Wonderful Wednesday announcement and link to registrationGoogle team BigPictureGoogle tutorialDatastori.es episode on visualization of uncertaintyGithub D3 galleryNovartis visualization initiative and cheat-sheetStratos initiativedata visualization societyFundamentals of Data Visualization - online bookData Visualization - A practical introduction - online book

Imi Dean, a real-world data scientist at Roche with expertise in oncology and machine learning, shares insights on the impact of real-world evidence in healthcare. He discusses his journey from medical science to data science, highlighting the power of real-world data and its contrast to traditional trials. The importance of precise research questions and overcoming biases in data is emphasized, as well as the role of propensity scoring in treatment analysis. Ultimately, Imi reveals how real-world evidence can significantly enhance patient care and decision-making.

Interview with Liz Cole Click this link to go to the homepage of this episode! Listen to our conversation and understand: What is content marketing?Why is this relevant for statisticians working in CROs, pharma or as consultants? How can content help CROs or consultants win more business? How can content help you attract candidates to your team and stand out as an employer?How can content help to boost your personal profile? What are the barriers that stop people from implementing content marketing and how we overcome these barriers?  What actions do you recommend should statisticians start with?What resources do you recommend helping with content creation and content marketing?  Listen to this episode and learn from it!