The Effective Statistician - in association with PSI

Perspective on ethics in statistics and the importance of determining good behavior. Creating awareness and understanding through various means. Building trust by demonstrating care, competence, and character. Advocating for societal and environmental implications. Emphasizing algorithmic thinking and evidence-based decision-making. Highlighting the need for organizational change and effective collaboration. The journey toward ethical statistics is a shared responsibility with far-reaching impacts.

The speaker emphasizes the significance of data visualization and shares their own motivation to enhance their skills. They discuss the importance of having a long-term vision, setting bigger goals, and finding areas of passion. They highlight the need to devise a strategy, market oneself, and develop technical skills. Building skills, investing in leadership, and effective goal achievement are also explored.

Interview with Elena Polverejan The Genesis of Estimands: A conversation in 2017 that led to the creation of the Estimands Framework, a shared language to simplify complexity in clinical trials. A Closer Look at Depression Studies: Me and Elena strategically chose depression as their focus for research due to its unique challenges, including efficacy, maintenance, intercurrent events, and time-to-event endpoints. The Practical Guide: A collaborative effort between stakeholders has produced a practical guide to help study teams better understand and utilize the Estimands process for clinical trial design. Regulators on Board: Getting the support and validation of regulatory bodies was an essential factor in the success of the Estimands Framework. A Blueprint for Progress: The Estimands Framework, developed by me and Elena, enhances the pharmaceutical industry by providing a path towards greater precision, clarity, and collaboration in clinical trials. Listen to this episode now and share this with your friends and colleagues!

This podcast discusses the advantages of crossover studies in scientific research. It covers topics like randomization, order effects, and carryover effects. The challenges of conducting studies with multiple treatments are also explored, along with a case study in the allergy field. The importance of controlled environmental chambers for allergen exposure is highlighted. Overall, the podcast emphasizes the significance of understanding crossover designs in research and the potential they hold for innovative discoveries.

Understanding negotiation in the context of table production costs, reducing and restructuring tables, active listening in negotiation, investing in leadership skills, a leadership training program, modular table production concept

Jess Thompson, an expert in risk management in clinical trials, discusses the importance of continuous risk assessment, collaborative risk identification, and the role of assumptions. She also emphasizes the need for collaboration and input from team members when assessing risks, as well as contingency planning and risk reporting for successful risk management.

Katharina Schueller, a statistics professional, discusses the importance of ethical discussions among statisticians and highlights the significance of transparent communication. They explore the ethical concerns in data algorithms and the responsibilities of statisticians in putting patients first in medical statistics. The conversation also touches on the ethical implications of artificial intelligence and machine learning methods. Katharina encourages listeners to reflect on ethical aspects in their daily statistical practice and embrace the responsibilities of statisticians.

Explore strategies for managing tasks, prioritizing work, and communicating challenges in an under-resourced work environment. Learn the importance of documentation, project estimations, and maintaining a strong professional network. Discover opportunities to improve statistical skills and bring value as a statistician.

Thomas Nietmann, an expert in transitioning from SAS to R in healthcare and pharmaceutical industry, discusses how to make the transition smoother. Topics include mathematical concepts, tools to aid the transition, and a tailored course for professionals in the field.

Thomas Nietmann, an expert in transitioning from SAS to R, provides essential tips for a smooth process. Topics discussed include installing R and R Studio, data exploration techniques, data manipulation packages, macros vs. functions, and the use of unit testing. Transitioning from SAS to R can be intimidating, but with the valuable advice in this episode, the process can become smooth and painless.