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:

How do real-world data variables change the overall value of a clinical study?
How does clinical study make it to the implementation stage and how is this strengthened through the use of RWEs?
How does Real World Evidence validate the data and results that are presented in clinical trials?

The extensive existence of Real World Evidence resources is already out there and is ready for utilization in clinical trials.

In this second part of the discussion between Josephine and Alexander, we highlight how, from the point of validation to implementation, RWEs work well in strengthening the foundation of every study approved for actual real-life application.

Here are some of the key learnings you can gain from this episode:

Getting things done through others is a key part or even the definition of leadership and her clients face often the same situation as statisticians. They need to convince people rather than command them.

In this episode, we have our first non-statistician as a guest. Julia has built her own consulting and training company Zestfor. She and her team specialise in developing Training programmes and resources scientifically tailored for technical markets – including Pharmaceutical, IT, and Life.

In this episode, we cover the following topics:

What makes a statistician more valuable to an organization?

How does a statistician’s work culture differ from working in a large company to working with a smaller organization?

Would statisticians be able to bring more value to their work, especially when working with smaller companies?

When the term “statistician” comes to mind, it is easy to picture a person who sits for hours behind a desk working with numbers and mathematical analysis. However, there is something more to statisticians than what actually meets the eye. More than just the expectation of a person being a brilliant person who understands numbers better than the average individual. The truth is, statisticians are the ones who have the capacity to bring change to the table, especially because they know what the numbers are telling them. In this episode, Kim and I talk about how statisticians become the big fish in a small pond when they work with smaller organizations.

Here are some key learnings you may be interested in as you listen through this episode:

In this podcast episode, we discuss an important part of leadership – proactive behaviour. Or simply put—drive!

As a statistician, your day-to-day approach to this topic will build up to long-term success.

We discuss various aspects of the drive including: