The Effective Statistician - in association with PSI

Alexander Schacht and Benjamin Piske, biometricians, statisticians and leaders in the pharma industry
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Nov 7, 2022 • 41min

Answers to 7 questions you probably have about improving your presentations using stories

Interview with Helen Packham Developing rapport with the audience is critical to convincing them that your message is something they can use. Storytelling does not need to be in depth, but it needs to be connected with the topic that you are going to discuss in the presentation. Storytelling enhances the way you connect with your audience through giving them an idea of what you have done and inspiring them the fact that they can achieve the same success that you have. Storytelling takes different strategies depending on the topic being discussed in a presentation. Listen to this podcast and learn more about how you can use storytelling to get the attention of your audience and send a message that triggers action and change. Reference: 7 common questions
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Oct 31, 2022 • 24min

Multitasking

Multitasking destroys your productivity more than build it up. Focus takes practice before it gives you the outcome that you want from the tasks that you give attention to. It is best to complete one task after another instead of doing them all at once. Statistical research requires focus for them to be analyzed with full accuracy. Understanding how to manage time is better than multitasking on several tasks and is more effective than accomplishing all job orders altogether. This podcast is certainly something that can help everyone in every different industry within and outside the field of statistics. You'll learn a lot from this episode and apply them to your own tasks and share it with others as well. Head on to The Effective Statistician now and increase the rate of your productivity today.
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Oct 26, 2022 • 46min

Practical steps to improve your leadership skills

interview with Gary Sullivan In terms of courses, we specifically dive deeper on The Effective Statistician Leadership Program. You can find more on this program information here!
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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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