The Effective Statistician - in association with PSI

Interview with Paolo Eusebi In this episode, Paolo and I discuss the importance of visualisation in understanding subgroups. Specifically we speak about: Why visualisation is importantHow to create effective visualisationGraphical display of subgroupsSubgroup explorerExploring robustness of subgroups between studies Three step approachMeta-analysis of interactionGraphic Display of Heterogeneity GOSH plotShiny App Listen to this episode and share this with your friends and colleagues!

Interview with Mike Taylor The discussion also touches on: Who are the Key Opinion Leaders?How using Altmetric and Dimensions data, links can be identified and groups of the influential leaders in different research spheres can be discovered?When diving into the research landscape of a particular Therapeutic Area or clinical research focus, getting the low down on who is authoring with whom, and who is ‘leading the pack’, is crucial?How having this kind of insight into the dissemination and ‘journey’ of research provides ‘organizational wisdom’ that can enhance foresight, competitor analysis or benchmarking and importantly, inform outreach and publication strategies? Links: AltmetricDimensionsDigital Science

Interview with Rachel Tham The things we are discussing: The index dateExposure outcome association and order of operationsWords to approach with cautionCommon pitfallsManaging the project Listen to this episode and share this with your friends and colleagues!

Join Sam and I while we talk about the following advice on how to start the week right: Don't dive directly into meetings or emailsReview your annual goalsReview your achievements from last weekStart/stop/change/continueReview existing to-dos and open-loopsReview the upcoming week's eventsPlan your weekly big 3Clean up your calendarPlan your daily big eventsWhat things that can waitHave an invite in your calendar with these steps to create a routine or use the full focus planner References: This is your life! This is an older podcast by Michael Hyatt in which he talks a lot about these topics. He has also some new podcasts which you can find here: https://fullfocus.co/Link to the Full Focus PlannerFree to Focus book Listen to this insightful episode and share this with your friends and colleagues!

Interview with Karrie Liu Stay tuned as we talk about these helpful points: How did Karrie get into helping charities with data scienceWhat are typical challenges charities haveWhat are the differences of other organisations which provide help to charities?What should a statistician/programmer or data scientist do to help you move forward? More about Karie: Hypatia Analytics Karrie Liu Listen to this episode and share this with your friends and colleagues!

Join us while we will talk about these following points: When have you learned about personal leadership principles?Why are they important to have?What should they be about and what not?How do you use them?How did you establish yours? See also episode https://theeffectivestatistician.com/my-personal-leadership-principles/ Listen to this episode and share this with your friends and colleagues!

Interview with Thomas Debray Join our discussion today as Thomas and I talk about this. Key references: Debray TPA, Moons KGM, van Valkenhoef G, Efthimiou O, Hummel N, Groenwold RHH, et al. Get real in individual participant data (IPD) meta-analysis: a review of the methodology. Res Synth Methods. 2015 Aug 19;6:239–309.Debray TPA, Riley R, Rovers M, Reitsma JB, Moons K, on behalf of the Cochrane IPD Meta-analysis Methods group. Individual Participant Data (IPD) Meta- analyses of Diagnostic and Prognostic Modeling Studies: Guidance on Their Use. PLoS Med. 2015;12(10):e1001886.Debray TP, Schuit E, Efthimiou O, Reitsma JB, Ioannidis JP, Salanti G, et al. An overview of methods for network meta-analysis using individual participant data: when do benefits arise? Stat Methods Med Res. 2018;7(5):1351–64.Nguyen T-L, Debray TPA. The use of prognostic scores for causal inference with general treatment regimes. Stat Med. 2019 Jan 16;38:2013–29.Sarri G, Patorno E, Yuan H, Guo J (Jeff), Bennett D, Wen X, et al. Framework for the synthesis of non-randomised studies and randomised controlled trials: a guidance on conducting a systematic review and meta-analysis for healthcare decision making. BMJ EBM. 2020 Dec 9;bmjebm-2020-111493. Listen to this episode and share this with your friends and colleagues!

Today, I am sharing with your the 10 reasons to submit a poster for the PSI conference: Give back to the community on your experienceIncrease your visibility within your companyIncrease your visibility outside your companyImprove your CVImprove your expert statusGet an additional reason for attending the conferenceGet in touch with others at the conferenceGet feedback on your work to potentially write a corresponding paperGet to do the 1-minute pitch for your posterImprove your communication skills Listen to this episode and share this with your friends and colleagues!

Interview with Gary Sullivan During my early years, I was overwhelmed by so many trainings, SOPs, and processes. Only after my later years I learned what quality is really about. Gary fundamentally helped me and many others have a very different and more insightful/helpful/easy perspective about this topic.Listen and learn while we talk about the following points: During your first years in the industry - how did you think about quality? What did it mean to you?What are the key parts of quality today for you?How does this understanding of quality differ from being compliant to SOPs?Have you seen an example where a person was compliant to SOPs but didn't deliver quality?How can we increase quality as defined in this episode in our organization? References: Demmings book "Out of the crisis!" The 14 points of Demming!

Interview with Dacheng Liu Today, I am interviewing Dacheng Liu from Boehringer-Ingelheim and talk about the different opportunities open for data scientists in the pharmaceutical industry and answer the different interesting points below: How did you get into data science and what does "data science" mean to you?What are typical data science methods that we are not yet using enough?Which areas do you think, have currently the biggest potential to benefit from such methods?Which case studies do you have in mind?Which areas will become important in the future in terms of data science? References: https://theeffectivestatistician.com/wp-content/uploads/2022/01/References.docx