The Effective Statistician - in association with PSI

Interview with Miguel Hernan In today's episode, we will be diving deep into this interesting topic and talk specifically about the following: How did you get interested in causal inferencesIf we have an observational study with 2 arms and differences in baseline variables, what are the best ways to adjust for these?What does this look like for multiple treatment arms?In longer studies, we happen to see switches between different treatments. How do we compare treatments appropriately in these cases? References: Wikipedia: Miguel HernanHarvard TH Chan Listen to this episode and share this with your friends and colleagues!

Interview with Nigel Howitt After a short introduction of Nigel and his experience with PSI, we will cover the following topics: https://cdn.podigee.com/podcast-player/podigee-podcast-player.html?id=pdg-1549a3b9&iframeMode=script How can someone, that is interested become a new PSI member?What rules are there for students?If you’re a data scientist in the pharma industry- is PSI the right association?How to get most out of PSI?What are the different ways, you can become more engaged within PSI?How can you get involved with one of the PSI committees? What’s the role of the SIGs and how do you get involved there?What Nigel is recommending new members of PSI as first steps?What are your highlights of the PSI conference in Amsterdam? Finally, we’ll also discuss how to get most out of the conference.

Interview with Liane Davey In this episode, Liane Davey, who is the author of the book "The Good Fight", and I will be discussing about how to say no effectively. I met her on Linkedin and we had a couple of messages and it was just really cool that we think the same way. Stay tuned because you'll surely love it! We discuss about the following points: How to say noHow to build boundariesHow to say it effectivelyHow do we embrace conflict: The Good Fight BookHow buffer in our schedule and "no" relate to each other Share this interesting episode with your friends and colleagues who'll surely love it too!

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!