How could differences between countries affect the elements that are included in statistical research?
How could studies with such a diverse sample from different countries be managed to create a more dependable reference for statistical studies?
How do differences of the quality of care that the target population receives impact studies?

As statisticians, we need to be able to understand the validity of the outcomes of statistical analysis for different target populations.

In this podcast, you will learn ways to tackle this problem:

In this podcast, you will learn how this problem could be resolved:

Leadership is one of the most important aspects of any organization, and statistics is no exception. Good leadership can help a field grow and shape the future, while bad leadership can lead to stagnation or even ruin. In this episode, we discuss what leadership means for statisticians, how we develop our own leadership style, and how it helps us continue to move forward in our careers.

Join Alun Bedding and me while we answer these questions:

What made Alun decide to focus on leadership?
What are the advantages of practicing good leadership for statisticians?
How to be an effective leader and motivator?
How did Alun and I got equipped in training others to be effective leaders?

We also talk about the following interesting points:

Are you struggling with your presentations?
How does storytelling increase the interest of your listeners?
How does audience relatability help in improving the way you are able to connect with them effectively?
How does establishing rapport with your audience affect the overall value of your message and how it is going to be used by your target listeners?
How can you effectively anchor a message to a visual element through storytelling?

In this conversation with Helen, we discuss the importance of storytelling in creating relatable presentations that will have a more personal impact on the listeners. Rapport and connection with the audience are critical to the way a message is received.

Here, Helen Packham explains more about this issue. Here are some lessons you can get from this episode:

Does Multi-tasking help or harm you?
How could you handle the desire to multitask more effectively?
What fallacies about multitasking does the world currently believe?
Are there ways to be more productive other than multitasking?
How does focus change the way we function in any form of industry?

This podcast gives our listeners an idea of what multitasking is, how it has changed the way people work through time, and how it has created more problems than solving issues as expected.

The information we share in this podcast will help you become more productive and understand the application of multitasking in a much better light. Here are some lessons we want to impart through this podcast:

In this last part of the leadership series with Gary Sullivan, we talk about the next steps, you can take to work on your leadership skills.

We cover the following areas:

- Books
- Mentoring
- Role of supervisors
- Podcasts
- Mastermind groups
- Courses

Indirect comparisons and network-meta analyses play a rising role in our world.

A pubmed search provides 240 hits for the term network meta-analysis in 2011. This increased to 3223 in ten years later 2021 – more than 13 times more!

There are many problems you can solve using these approaches and statisticians overlook some on a regular basis.

Don’t miss out on providing your colleagues with great evidence (and with the ability to learn a lot about this interesting statistical approach).

Listen to my short but informative discussion with Daniel Saure as we explore five different cases with which network meta-analyses are extensively affected.

Our conversation defines the problem and solutions regarding these three primary cases:

In this second part of the interview with Gary, we speak about the building blocks of leadership without authority from a statistician’s perspective. We cover questions like:

Is influence the same as power?
What is the role of trust, what are the different elements of trust and how can we improve trust being technical experts?
How can we build relationships at work, that help us to influence change?
Is influence through relationships only relevant “sideways” or also “upwards” and “downwards”?
How do we know with whom we need to invest in building relationships?
Is there a way of assessing how good our relationships are?

How does information technology help reduce the statistical margin of mistakes?
How does leadership come into play when creating programs designed to effectively manage statistical data?
How does open-source culture in informatics development in statistics help in creating innovative technology to increase research validity?
Does open-source development change the way statistical validation is treated especially in developing new forms of health treatment?

My interview with Coline Zeballos of Roche informatics will give you an idea on how the development of Open-Source culture in developing applications that will help validate data collected for statistical research is actually changing the way medical studies are being completed and applied by pharma companies today.

Coline also shared her thoughts about internal leadership in this podcast, which will be useful not only for statisticians but for professionals in other industries as well.

Some of the lessons you can get from this podcast include:

What makes persistence one of the most important factors of being a leader?
How does persistence among leaders in statistics affect the results of their work?
How could persistence translate into understandable and actionable results for the target population?
How can a persistent leader bring high value to bringing change to the target population?
How does clear vision help leaders develop persistence in reaching their goals?

Even in the face of difficult barriers, a persistent leader does not give up. This short but rich conversation between Gary and me introduces the meaning of leadership and how persistence shapes its value. Looking into the examples of Martin Luther King and Earnest Hemingway, this podcast will teach you how history proves that persistence among leaders go a long way in promoting change and development across the globe.

Learn from me and Gary as they talk about persistence and how it can make leadership among statisticians more effective as they translate the results of their studies to the target population.

Here are some key lessons you can learn from this episode:

The Leadership program is now open and in this bonus episode, we go into some key questions about statisticians and leadership that may help you decide on your next steps.

Here are the following key questions: