The Effective Statistician - in association with PSI

In this episode of The Effective Statistician, I speak with Andrew (Andy) York about the evolving world of programming validation, traceability, and quality assurance in clinical trials. Andy has decades of experience in statistical programming, leadership roles across pharma and CROs, and now works with AI-driven solutions focused on improving validation and traceability.

In this episode, Alun Bedding speaks with Richard Zink about how **applied improvisation** can help statisticians become more effective communicators and leaders.

They explore how improv techniques—like “yes, and,” active listening, and embracing mistakes—build confidence, strengthen collaboration, and improve the way we explain complex ideas. This conversation shows that developing interpersonal skills doesn’t have to be theoretical or boring—it can be practical, interactive, and even fun.

If you want to communicate your ideas more clearly, connect better with stakeholders, and grow beyond technical expertise, this episode is for you.

Episode Overview

In this episode, I speak with Anna Mosikian, a physician by training and Global Clinical Program Lead working at the intersection of clinical development and strategic marketing.

Anna brings a powerful perspective on how clinical data translates into real-world value—bridging evidence generation, regulatory expectations, and commercial impact. We dive into what clinical leaders truly expect from statisticians and how statisticians can move from technical contributors to strategic partners.

We explore what “good collaboration” really looks like in practice, why understanding the purpose of a study is critical, and how statisticians can elevate their impact through communication, proactiveness, and cross-functional thinking.

Trust is one of the most fundamental elements of effective leadership—and yet, most organizations don’t measure it properly.

In this episode, I speak again with my good friend Alun Bedding about how we can move from talking about trust to actually quantifying and improving it. We explore why trust is essential for collaboration, leadership, and performance, and what happens when it’s missing.

We also dive into practical tools like the Leadership Trust Index, how to interpret trust as a lead measure, and how organizations can systematically improve trust over time.

If you want to become a more effective leader and create real impact, this episode gives you both the mindset and the tools to do it.

In this episode, I sit down with Rachael Lawrance to dive into a topic that has become absolutely central to clinical research: patient-centered outcomes.

When I first started as a statistician, I knew these measures existed—but I didn’t really understand how they were developed, analyzed, or used in decision-making. That has changed dramatically over the years. Today, patient-reported outcomes (PROs) and the broader framework of clinical outcome assessments (COAs) play a key role in regulatory approvals, payer decisions, and how we demonstrate treatment value.

Rachael brings deep expertise from her work at Adelphi Values and shares how these endpoints are developed, validated, and applied in practice. We also discuss how statisticians can contribute more effectively by understanding the science behind these measures—not just treating them as “just another scale.”