What are the advantages of being active on LinkedIn?
How can you find the right career opportunity on this social site?
How can increasing your network attract more opportunities?
What kind of content should you post?

In today's episode, I am talking about my favorite social media platform, LinkedIn. LinkedIn has helped a lot of professionals not only to meet new people and to broaden their network but also, in discovering new skills, learn new insights, and get motivation.

Listen to this now and learn how to maximize the use of your LinkedIn account. I also discuss the following points:

Why is it important for a statistician to take the culture of the first mover advantage on a more personal level?
How do the first-mover advantages help the personal and professional growth of a statistician?
What does it take to be the first mover?
How does being the first mover solve problems early?
How do you develop the motivation to be the first mover?

In this conversation, we talk about the effective impact of the first-mover advantage. To give a more visual distinction of this strategy, it is more like a chess game where the first mover often decides the direction of the game.

In statistics, this attitude offers a more effective sense of understanding what the first move culture is all about.

Here are some of the lessons that are presented in this conversation:

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: