The Effective Statistician - in association with PSI
The podcast from statisticians for statisticians to have a bigger impact at work. This podcast is set up in association with PSI - Promoting Statistical Insight. This podcast helps you to grow your leadership skills, learn about ongoing discussions in the scientific community, build you knowledge about the health sector and be more efficient at work. This podcast helps statisticians at all levels with and without management experience. It is targeted towards the health, but lots of topics will be important for the wider data scientists community.
- Update frequency
- every 5 days
- Average duration
- 33 minutes
- Episodes
- 459
- Years Active
- 2018 - 2025
Top 8: The Single Arm Studies and What are the Alternatives?
Why You Should Listen:
f you’ve ever wondered whether single-arm studies are “good enough” for regulators or HTA bodies, this episode will challenge your assumptions.…
Top 7: How to work with a physician within Pharma to become a valuable partner
Why You Should Listen:
Working with physicians isn’t always easy. Different mindsets, expectations, and communication styles can get in the …
Top 6: What is EU HTA and why should statisticians care?
Why You Should Listen:
✔ EU HTA is becoming reality: Joint Clinical Assessments begin soon with oncology/ATMPs and will expand to all medi…
Top 5: The analysis of adverse events done right
What You’ll Learn:
✔ Why analyzing adverse events differently from efficacy endpoints creates problems.
✔ How differing follow-up times and cen…
Replay: R vs SAS - which is the better tool in pharmaceutical research
What You’ll Learn:
✔ How Thomas and Sam were first introduced to SAS and R — and how their early experiences shaped their preferences.
✔ Key diffe…
Replay: The Chimp Paradox
What You’ll Learn:
✔ How to recognize when your “chimp” is in control — and what to do about it
✔ The difference between emotional, rational, and programmed brai…
Replay: Is data science something for you?
What You’ll Learn:
✔ How two leading statisticians transitioned into data science
✔ The key differences (and overlaps) between data science, sta…
Replay: Things we would like to have known before we started with RWE
What You’ll Learn:
✔ Why “index date” is more complicated than it sounds
✔ Common mistakes around exposure definitions
✔ The importance of understanding how RW…
AI and Statistics Start-ups: Opportunities and Challenges
What You’ll Learn:
✔ Why the 21st century is truly the "century of biology" and what that means for statisticians
✔ The…
Combining RCT and RWD – applications in rare diseases and practical recommendations
What You’ll Learn:
✔ When and how to combine RCTs with real-world data (RWD)
✔ The CJD study: lessons from combining r…
Real-World Evidence vs. Randomized Trials: Can We Emulate Accuracy?
What You’ll Learn:
✔ The motivation behind emulating randomized trials using real-world data
✔ How claims a…
The Power of Networking
What You’ll Learn:
✔ Why networking is about curiosity—not small talk
✔ How to set clear intentions for networking at events
✔ The three biggest myths that hold…
Inclusion for All: Rethinking Success, Neurodiversity, and Accessibility in the Workplace
Learnings You’ll Gain From This Episode:
✔ Why inclusion is everyone’s responsibility—not just HR’s
✔ The difference between “reasonable adjustments” …
Daily updated systematic literature reviews - the future of oncology
Why You Should Listen:
✔ Discover how SLRs are evolving through automation and AI
✔ Learn how real-time data can improve cancer treatment decisions
✔ Understand…
A novel approach for finding predictive biomarkers
Why You Should Listen:
✔ You’ll learn a new method that’s both statistically sound and easy to implement
✔ You’ll see how to pre-specify your …
A Webinar Recording: Redefining the Role of Statisticians in a World of Real-World Data and AI
✔ Learn how statisticians can step into leadership roles as data science becomes more strategic.
✔ Understand the impact of AI, r…
RWE and JCA - how do they go together
What You’ll Learn in This Episode:
✔ What the JCA is and why it changes how we plan evidence generation
✔ When and how RWE can help answer comparator questions in HTA
…
Why and how you can promote more students become statisticians
✔ Why STEM outreach is so important for the future of our industry
✔ How your company, community, and even your own career can benefit from getting …
Clarifying confusions around interim, primary, final, and other analyses in clinical trial
What You’ll Learn in This Episode:
✔ The true definitions of interim, final, primary, confirmatory, and updated analyses
✔ Why a “final analysis” doesn’t always…
Reimagining Clinical Trials with Synthetic Data and Digital Twins
What You’ll Learn in This Episode:
✔ What synthetic data actually is – and what it isn’t
✔ The benefits and challenges of using synthetic data in clinical research
…