The Effective Statistician - in association with PSI

Bonus Episode Leading people Convincing business partners Delivering value and selling it – and what does selling means Thinking outside the status quo to improve things in the long run Always learning about the business and the people in the business Learning about statistical innovation Doing things more effectively Becoming more impactfully Raising your business acumen – internally and externally Having quality in mind Quote from the Episode by Bill Gates “Most people overestimate what they can do in one year and underestimate what they can do in ten years.”

Interview with Lina Eliasson Patient adherence is affected by different surrounding factors in the lifestyle and personal perspectives of the patients involved in a clinical trial Technological innovation makes it easier for patient adherence to progress; however, implementing these technological inclusions may present challenges to researchers. Hearing the voice of the patients is critical to determining strategies that can help improve patient adherence in clinical studies. Patient-centered goals could drive patient adherence to increase fast especially because the participants the benefits that they can get from strictly following the schedule and dosage of their medication. Addressing personal fears and barriers through proper communication with the patients is an important aspect of successful clinical trials. It can only be achieved through the involvement of personally invested researchers who are more than willing to reach out to the participants and hear out their concerns. To be a better statistician, learning how to influence patient adherence positively can help improve not only your capacity to reach your goals but also your capacity to motivate the implementation of change in different fields of healthcare. Reference: How the EMERGE guideline on medication adherence can improve the quality of clinical trials Learn more about adherence and other topics that will help you in becoming an effective statistician. Listen to this episode and share this with your friends and colleagues!

Interview with Liz Thompson What are you good at? What are you passionate about? What can you do to add value to the society? Statisticians have all the necessary skills to make things happen and they should try to find an option to make such changes happen by standing up and getting out of the office to engage with people and organizations that relate closely with their passion. Working on your passion entails working more on value. For statisticians who want to gain more satisfaction from what they do, stepping out of their comfort zone may be a great choice to consider. From connecting with different networks and meeting other advocates, the skills and knowledge of a statistician can be used further when the goal is more focused on a creating a specific solution to improve patient-care. To make that choice of stepping out of statistics, you must weigh your odds, find your passion, connect with the right network, and be motivated enough to make the change you want to achieve.

Leaders never stop learning even from their subordinates Leaders invest in themselves in sharpening their tools, their skills and exploring possibilities for growth Leaders get along with change and move forward by adjusting to the demands surrounding their profession. Leaders thrive in finding more solutions in the face of limitations and barriers and pursuing the goals they have set for themselves and their team. Perseverance differentiates the pathway of great leaders from good leaders. Clarity of purpose redefines the way a leader establishes his plan and how he pursues to reach his goals even when situations change. Learn more about leadership that will help you in becoming an effective statistician. Listen to this episode and share this with your friends and colleagues!

Interview with Jenny Devenport 1. Publication is a critical part of the scientific process, It is important to communicate the results Peer review still adds credibility to research Important for further steps Need to have transparency - refer to clinical trials .gov History of not publishing data in the past 2. Helps establish credibility with various stakeholders, 3. Enable scientific discussions in the field, 4. Advance science in that disease and in general A. Types of publications: Presentations Abstracts Posters (original and encore) Papers 5. Role of the statistician in an individual publication Methods characterization (to the standard of reproducibility) Results presented accurately and in a balanced manner Clinical and statistical conclusions are consistent and more... Listen to this episode and share this with your friends and colleagues!

Why does CONSORT not fit with a secondary paper? Tell a good story Make the story aligned with the overall strategy The 3 times 3 rule for a good paper The importance of good graphics Why do non-standard analyses help often Leveraging the appendix Further use of the paper Connection to abstracts and posters Working with co-authors Listen to this episode and share this with your friends and colleagues!

Reasons for staying comfortable Fear of rejection Fear of failure Fear of not meeting expectations Unfair comparison to others Not being ready Being too busy Not important Set systems to reach your goals You can reach incredible goals Do something different Grow personally Vulnerability Innovation

Interview with Claude Petit We talked about the following points: What got you interested in leadership? What means leadership to you? Why is leadership important for us statisticians? What would a statistics organisation look like, if it would be very strong in leadership? How can we build such an organisation of statistical leaders? What's your #1 tip to become a statistical leader?

Interview with Sree Kurup In this episode, we talked about the following points: What is the role of a pharmacometrician in the development of drugs? Besides statistics - what other functions do pharmacometricians work closely together with? Where are the touchpoints of pharmacometricians and statisticians? What is your experience of how both functions can work best together? and more…

Some of the input data is missing for some studies. How do you deal with these missings - just exclude them? You compare many treatments with each other in a pairwise way. How do you best communicate this large matrix of pairwise comparisons? You need to adapt your NMA last minute because there was a delay in the system and your systematic literature search became outdated. Do you need to postpone the launch of the new product by a couple of weeks? You got regulatory approval for a new indication earlier than expected. While the regulatory team celebrates the achievement you worry that you need to have your NMA ready 3 months earlier. Will you be able to deliver? We discuss these and many more problems of NMAs. If you would like to get help around these, write an email to alexander@theeffectivestatistician.com or contact me via LinkedIn.