Effective, efficient, and productive research requires statisticians and clinicians to play well and in harmony with one another despite seemingly different skillsets. While content knowledge for statisticians, in particular, constitute a major component of their training to execute analyses and data management, focus on the soft and interpersonal skills of the statistical profession are often overlooked or not given sufficient consideration. While this seminar is particularly geared for those who are relatively new to being an applied statistician or analyst, even experienced applied statisticians/methodologists will have an opportunity to engage with their junior colleagues and offer their expertise and insights. In this 75-minute seminar, we will address the following four objectives:
Create a safe forum for constructive discussion to manage research partnerships between clinicians and statisticians
Identify gaps and opportunities to focus on soft skills not usually discussed in content-specific statistics courses
Understand the current organizational context for applied statisticians (especially masters trained), in clinical research studies and posit alternative structures
Recognize the benefits of advocacy when engaging in clinician/statistician partnerships
The seminar will involve two breakout sessions to discuss key matters concerning statisticians/analysts in small groups and enable opportunities to share those with all colleagues.
Breakout Session #1:
What are the successful soft skills AND behaviors needed for a statistician to be successful in an academic research environment? Conversely, what should a statistician avoid? Be tactful, yet critical.
What are the successful soft skills and behaviors needed for a clinician to successfully engage a statistician? Conversely, what should a clinician avoid? Be tactful, yet critical.
Breakout Session #2:
What are the benefits and drawbacks of some of the commonly applied organizational/structural frameworks between statisticians and clinicians in an academic research setting? Specifically consider the organizational contexts in which you work.
Are there other frameworks that exist or should be considered to address gaps? Can/Have these be/been successful? What are potential alternative contexts that could be more conducive to statistician/clinician and a successful research enterprise?