Are you ready to shape the future of statistics in healthcare?

How can you contribute to and benefit from our upcoming November 2024 conference?

This event, designed to bolster our community and enhance our effectiveness as statisticians, will unfold over four days, thoughtfully scheduled to accommodate global time zones.

What will the new formats of presentations and interactive workshops look like, and how can these help you in your professional growth?

Focused on practical applications and community engagement, this episode will guide you through maximizing your involvement in an event poised to transform our field.

Are you ready to be part of something groundbreaking?

Tune in to discover how you can make a significant impact at this innovative gathering.

In this episode, we merge the worlds of statistics, leadership, and personal growth.

I am eager to navigate the "4+1 phases of learning" with you today. This topic, central to our leadership course, particularly targets supervisors but resonates with everyone in a professional setting.

It’s crucial for both effective delegation and understanding our personal development in skills and tasks.

This episode aims to guide you through recognizing your learning phase, whether it’s identifying the unknowns in your skills or reaching a point where you can mentor others. We're discussing a framework to enhance how we learn, teach, and lead.

In today's episode, Benjamin and I dive into the critical issue of retaining key team members, especially now that he has earned his promotion to Global Head of Biostatistics at CYTEL.

But before we explore our main topic, let's consider some pressing questions:

Are you struggling to keep your top talent engaged and committed to your team?
Do you understand what keeps your best employees staying or what might be driving them away? '
As supervisors, we face the challenge of not just hiring the right talent but also retaining skilled statisticians, programmers, and data scientists we already have on our teams.

Today, we' discuss industry turnover rates and share personal stories from our extensive careers, aiming to unveil effective strategies for keeping your team cohesive and motivated.

Whether you're a seasoned manager or aspiring to lead, this discussion will equip you with insights to nurture and retain your talent, enhancing both team stability and satisfaction.

Here are some more points that we discuss:

Have you ever wondered about the complexities that arise within pharmaceutical companies due to the division between global and local operations?

Why do these realms often operate with such distinct perspectives, and how do they impact our mission to deliver effective healthcare solutions globally?

Drawing on my firsthand experiences and analysis, today I dive deep into these questions, exploring the tensions and potential for collaboration in pharmaceutical development and distribution.

Join me as I unravel the intricacies of this global-local dynamic and discuss ways to bridge the gaps for better outcomes.

Here are the key points I discuss:

Have you ever wondered what it takes to truly influence others and lead effectively, regardless of your role or expertise?

Are you ready to unlock your full potential by mastering the art of active listening, refined presentation skills, and continuous learning in leadership?

Do you want to discover practical strategies that can empower you to drive change and enhance methodologies within your team, while also growing personally and professionally?

In today’s episode, I dive deep into how you can improve your influencing skills. When I talk about influencing skills, I mean all the crucial abilities you need to be effective in. It’s not just about leading teams; it’s also about how you, as a statistician, data scientist, or programmer, lead your peers and even your supervisors.

Here are the highlights I share in this episode:

Have you ever considered that bias might not be as detrimental as it's often portrayed? What if the quest for precision in your estimates could actually benefit from a careful balance with bias?

In this insightful episode, I challenge the traditional view that bias is inherently negative by exploring its relationship with precision.

Through examples ranging from indirect comparisons to subgroup analysis, I illustrate the trade-offs between reducing bias and achieving precise estimates.

Join me as we navigate this interesting interplay of bias and variability in the pursuit of effective statistical practices. 

Here are the highlights in this episode:
In this insightful episode, I challenge the traditional view that bias is inherently negative by exploring its complex relationship with precision.

Through examples ranging from indirect comparisons to subgroup analysis, I illustrate the trade-offs between reducing bias and achieving precise estimates.

Join me as we navigate the intricate interplay of bias and variability in the pursuit of effective statistical practices. 

Here are the highlights in this episode:

Have you ever wondered what really happens when patients receive a placebo in clinical trials?

Do you think of placebo as just a sugar pill with no real effect?

Join me today as we uncover the truth behind placebo responses and explore the fascinating factors driving these responses in medical research.

Dispel common misconceptions and gain a deeper understanding of how placebo plays a crucial role alongside standard care in shaping clinical trial outcomes.

Here are the highlights in this episode:

In today's short Friday episode, I talk about into a topic close to my heart—one that I've repeatedly leveraged to enhance my reputation: data visualization.

Amidst the complexities of statistical analysis, data visualization stands out as a beacon of clarity.

Unlike many other statistical techniques that demand extensive explanation, data visualization speaks for itself. With a simple glance, it effortlessly communicates intricate patterns, trends, and insights.

In this episode, I explore why mastering data visualization is not just beneficial but essential for actively building a sterling reputation in the statistical community.

I also discuss these important key points: