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:

What are RWEs or Real World Evidence about?
How are Real World Evidence used in determining the value of clinical trials on how they are applied in real-life settings?
How are RWEs validated and how are they used in actual medical cases as healthcare procedures are applied in hospitals?
What variables tend to affect the way RWE data is managed and used as a reference to actual medical developments?
How does accurate reporting affect the value of collected RWE data?

Clinical trials accomplished to support the development of healthcare industries around the globe are critically defined to the references on how health conditions are diagnosed and treated.

In the end, the real target end-users of the medicines and other medical procedures are the patients. Hence, creating a more patient-centered approach in handling clinical trials is an important part of defining the success of one study.

One way of making sure that the clinical trials reflect real-world situations is through inculcating Real World Evidences or RWEs. Often, these evidences are garnered through observing samples that are free from the manipulation of the researchers. Through EHRs or Electronic Health Records, statisticians are able to collect data without necessarily influencing the sample population that they have chosen to observe. How does the FDA consider these factors of evidence?

Listen to Josephine Wolfram, an expert in RWEs, and me, and learn more about the way the FDA sees the value of RWEs and how this factor affects the overall procedures considered when approving new medicines and medical procedures that are offered for patients to consider.

Here are some key takeaways to look forward to when listening to this podcast:

In this episode, we share out ideas and experiences, which mindset sets up statisticians for success. We cover topics around:

How does patient adherence affect the results of clinical trials?
Are there ways to improve patient adherence to medication and treatments not only in clinical trials but also in real-life situations?
What is the future of the value of clinical trials in terms of inclusive technological innovations?

Clinical trials are designed to test whether a medication would be best for the target population. While these approaches are considered critical to healthcare development strategies, their value for applicability still remains dependent on how the participants cooperate with the process of treatment which involves their attitude towards adherence to the trial.

In this podcast, join me and Lina as we talk about the most effective ways to get patients to adhere to treatments they are offered in clinical trials. With her background in psychology, Lena’s insight is on point especially when it comes to determining the role of human behavior in terms of determining the applicability of the results garnered from clinical trials.

While there are several problems that arise from the lack of patient adherence, this podcast highlights some of the most effective ways that are available today for researchers and statisticians to consider when handling patient-centric clinical trials-therefore ensuring a high rate of patient adherence.

Here are some of the important learnings you can get from this episode:

Why would a person working under the rules and purpose of statistics for 30 years want something more than what she has been an expert with for many years?
Do you want something more out of your statistician background?
What could statisticians offer outside of the field of statistics in healthcare?
How does leadership in statistics bring you to embrace more exciting journey outside of statistics?
What does passion have to do with making statistics work for statisticians trying out new avenues of opportunities?

No matter how boring it may seem to others, statistics is certainly an exciting field for those who enjoy numbers and the analysis of the data collected from samples that are worked on. From the point of collecting data to studying what they mean, statisticians are certainly considered leaders who are able to utilize data to drive change for the benefit of the patients and the general public. But there is more to statistics than simply dealing with the numbers. It gives statisticians a direct connection with the issues giving them a chance to see things more clearly. In this podcast episode on steeping outside of statistics, Alex sits down to connect with Liz Thompson who has a strong 30-year background in statistics to understand why statisticians embrace the option of stepping outside of their expertise in the hope of bringing more value to what they do.

In this discussion, Liz presents some of the most distinct reasons as to why a statistician may want to embrace other options of growth in the healthcare industry as an advocate for distinct purposes.

Here are the bullets of lessons you will get from this TES podcast episode: