The Effective Statistician - in association with PSI

Alexander Schacht and Benjamin Piske, biometricians, statisticians and leaders in the pharma industry
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Oct 24, 2022 • 25min

5 use cases for network meta-analyses you should know about

Interview with Daniel Saure Understanding your phase 3 data Understanding competitive data Critique Published meta-analyses HTA submissions Reevaluation of Price Here are some lessons you can get from this conversation: You need to frame your data and measure the success of your product or your studies and protect the information to avoid any exploitation by other third parties that would want to use your data for their branding. Establish an effective manner by which you compare your data with the data collected by your competition. Make sure to react fast and have an existing alternative communication plan in case exploitation of data does happen. The landscape of meta-analysis continues to change depending on market demands and it is critical for statisticians to consider these adjustments to follow through the changing trend. Head on to The Effective Statistician and learn more from what this podcast offers. Please share this with your friends and peers and learn from our conversation.
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Oct 20, 2022 • 37min

Bonus Episode: Understanding leadership deeply – trust, relationship, and influence for statisticians

Interview with Gary Sullivan We don’t stay general and speak about specific examples, including negotiations. After listening to this episode, you will have a solid understanding of the levers of success, that is not associated with technical knowledge. This is the first part of the interview with Gary (check here for part 1).
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Oct 17, 2022 • 32min

R and its rising role

Coline Roche, an expert in using the R Strategy, discusses improving team effectiveness, delegation, and internal leadership alignment. They explore the rise of R in data analysis, integrating validation into development, benefits of using an app for data communication, and the importance of a strategic approach to problem-solving and implementing solutions.
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Oct 10, 2022 • 17min

Leaders are persistent

Persistence helps break the barriers between statisticians and their stakeholders With the right persistence, statistical clinical research can lead to remarkable changes in healthcare Persistent leadership drives more effective results that bring efficient adjustments With persistence comes conviction, making every leaders statistician be convincing enough to bring people to act upon the changes Head on to the podcast, share with your friends and colleagues, and learn more from this podcast today.
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Oct 6, 2022 • 29min

Why should statisticians care about leadership and developing their leadership skills?

Interview with Gary Sullivan What is a good definition of leadership? Why should technical statisticians worry about developing leadership skills? What happens, if you have limitations in your leadership skills? What should the mindset of a statistical leader be? When should statisticians start thinking about developing their leadership skills? Listen to this episode and share the link with your friends and colleagues who might learn from it!
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Oct 4, 2022 • 25min

RWE and the FDA (Part 2)

Interview with Josephine Wolfram RWES are collected through statisticians actually getting involved in the collection of data through interview, survey, and feedback questionnaire from both physicians and patients. Validation of data should be accomplished through focusing on the accuracy of the representation of the data from actual settings and how they could be applied in real-life cases. Statistical reliability is critical to the value of clinical trials and how they could be applied in actual life situations and health cases. Proving to FDA that RWEs are valid enough to provide the support needed by targeted patients is critical to determining the real value that every clinical trial serve. Listen to this episode and share this with your friends and colleagues!
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Sep 29, 2022 • 32min

Bonus Episode: Impactful influencing: actionable advice to get things done through and with others

Interview with Julia Carter Why do statisticians need to be more influential? Is influencing actually something bad on inappropriate? What characterizes an influential person? Which practices help statisticians increase their influence? Many statisticians are more introverted. How can they deal with more extrovert business partners from other functions? Relationships are key for influencing without authority. Trust is key to building these relationships. What can statisticians do, to generate more trust? Networking is another aspect of building relationships. What actions to take to build networks? Many of us work in virtual settings to some extent. This poses additional barriers to influencing others as it is much harder to be heard and understood. Which techniques can we apply to overcome these hurdles?
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Sep 28, 2022 • 40min

Small pond big fish

Kimberley Hacquoil Statisticians’ contributions to change is increases when they get involved with smaller crowds. Statisticians working with smaller groups or agencies are required to develop better communication skills so they can easily collaborate with their teams and their superiors and actually drive goals towards extensive developments. Effective leadership is a must for statisticians who become a part of smaller entities because they get involved in decision-making procedures more actively. Statisticians who want to transfer from larger entities to smaller ones should be prepared to take on distinct huge responsibilities. Listen to this episode and share this with your friends and colleagues!
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Sep 21, 2022 • 24min

As a statistician – do you take the back seat or do you drive yourself?

how it relates to your goals, what it takes to think strategically, which role innovation has here, what practical steps to take to drive teams forward, which knowledge to acquire to lead teams successfully, how this relates to influencing, and how your attitude will play a big role in this.
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5 snips
Sep 19, 2022 • 36min

RWE and the FDA (Part 1)

Interview with Josephine Wolfram​ RWEs are dependent on actual patient reaction and response data collected through records provided by the healthcare agencies RWEs are viewed differently by statisticians and the FDA which may create friction, especially in the process of having one medication submitted for approval and production. and more... Learn more about effective clinical trials based on dependable evidence and other topics that will help you in becoming an effective statistician. Listen to this episode and share this with your friends and colleagues! References: RWD SIG homepage Draft guidance

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