The Effective Statistician - in association with PSI

Interview with Gary Sullivan You have to be extroverted to be a leader.  Only if you have employees are you a leader. Either you have it or you don't. Leaders have a natural gift, you can't learn it. Those are three typical myths about leaders. In today's episode, I talk with Gary about these three false beliefs. We point out why they're false and give some counterexamples. We also discuss why they limit your development and make you a victim, so to speak. As statisticians, we are often introverted. We can use this to our advantage. We can take leadership, in our cross functional teams. And we can learn these leadership skills as well. All good leaders are always learning. Listen to the latest episode and share it with your colleagues.

Discussion with Alexander Schacht Intrinsic motivation - the driving force behind personal growth. It is the energy that keeps you going towards achieving your goals. Courage - It takes courage to step out of your comfort zone, take risks, and embrace new opportunities. Self-confidence - your belief in your abilities and potential. Without self-confidence, it is challenging to take risks and pursue significant achievements. As a statistician, you need to trust your knowledge and skills and have the confidence to tackle complex projects. Whether you are a statistician just starting your career or a seasoned professional, personal and professional growth is crucial for success. The journey toward growth starts with a deep understanding of yourself. Listen to this episode now and share this with your friends and colleagues!

Interview with Sheila Mahoney-Jewels How LifeSciHub provides a marketplace for businesses to find the right independent consultants to work on projects. How can companies leverage freelance talent and benefit from tax breaks, while independent consultants can enjoy greater flexibility and motivation. Due to its platform-based approach, LifeSciHub ensures that all parties are aligned in their expectations, making collaborations more successful. How it helps companies cut costs of relying on third-party staffing firms and allows independent consultants to showcase their skills and expertise. Join us now by listening to this episode and sharing this with your friends who could be interested!

Mouna Akacha and Kaspar Rufibach discuss promoting innovation in statistics, focusing on being collaborative, taking risks, and solving real-world problems. They highlight the need to improve communication, leadership, and adaptability skills. Investment in education, collaboration, networking, and advocacy is crucial for future innovation in drug development statistics.

Interview with Mouna Akacha and Kaspar Rufibach The interplay between invention and commercialization for statistical inventions. Potential barriers to success include lack of knowledge/software, resistance to change, and short-term goals over long-term initiatives. Strategies for success include: Clear communication Patience/resilience in long-term initiatives Providing resources/training, promoting diversity/inclusion in teams Networking/communication skills, collaboration with other functions, pragmatism/compromise for success Freedom to innovate Setting up a community of statisticians. We provide valuable insights into driving statistical innovation, overcoming barriers, and strategic planning. The success of statistical innovation requires clear communication, patience, resilience, collaboration, innovation, and pragmatism. By leveraging external resources and setting up a community of statistical methodology leaders, we can bring value to patients and overcome statistical challenges in the pharmaceutical industry. Learn more by listening to this episode now and share this with your friends and colleagues!

Discussion with Alexander Schacht Companies in the pharmaceutical industry must differentiate their compound from other competitors for successful market performance. The value dossiers and data visualizations to set the company apart. Data visualizations are used to demonstrate superiority to target customers and secure pricing/reimbursement. How can you improve your data visualization skills? Join the Data Visualization Special Interest Group, which is an online community of professionals committed to improving their data visualization skills. The group hosts regular events and discussions on best practices and new tools and techniques. Take The Effective Statistician Data Visualization Course, which is designed to help statisticians and other professionals develop their data visualization skills in a practical and effective way. Share this episode with your friends and colleagues who might learn from this!

Discussion with Alexander Schacht SAS is no longer focussing on pharma and has shifted the priority into other industries such as finance. R offers various benefits, including cost savings, innovative methods, universities shifting towards R, simpler/cheaper training due to its open-source approach, and much more. More statisticians are considering transitioning from SAS to R; The Effective Statistician Academy offers a course designed for this purpose. Learning R is not meant to replace SAS but supplement it (at least for the mid-term) Do not limit yourself to SAS only. Take the initiative to learn R and its advantages to enhance your skillset and knowledge. Learning R may seem daunting at first, but with the right guidance, and through The Effective Statistician Academy, you can effectively transition from SAS to R, expanding your skills and knowledge, and ultimately boosting your career. Are you interested to learn R Course extensively? Then, this course is for you! The Effective Statistician From SAS to R Course Share this episode with your friends and colleagues!

Alberto Garcia Hernandez, an expert in estimating policy estimands, discusses the framework for estimating policy estimands, utilizing multiple imputation and analytical models for faster results. They cover topics such as competing intercurrent events and censoring, adjusting treatment effect size, and the importance of understanding research questions. They also mention webinars related to data visualization.

The podcast discusses the importance of statisticians in the pharmaceutical industry and their role in improving communication with stakeholders. It highlights the need to provide physicians and patients with meaningful data for informed decisions. The episode also explores the influence of statisticians in improving communication in the healthcare industry, particularly in the promotional material and claims made to physicians and patients.

Interview with Serg Masis Benefits of IML Interpretability as the ability to understand how a machine learning model works Interpretability is better than explainability. Black-box models can be interpretable if viewed from a different perspective. Glass box models gaining popularity in IML and provide the benefits of both white-box and black-box models. Various modeling approaches related to IML, including rule-based models, decision trees, local linear models, and additive models.