Blog

The Statistical Computing Series hosted by Vanderbilt University Medical Center's Department of Biostatistics features presentations on the implementation of statistical models and methods, statistical computation, and graphics. These informal meetings allow experienced statisticians and developers to share their expertise on computing topics with practitioners across Vanderbilt. On Thursday, December 12, 2024, at 2:30 pm Central Time on Teams, principal application developer Cole Beck will present "What I look for in a code review." Here is his description:

Have you ever had your code reviewed, or had to review someone else's? I occasionally have the chance to evaluate someone else's R code - it's always a valuable learning experience for myself and the author. In this talk I'll provide common potential issues I look for in a review, as well as several example solutions.

For access to this webinar, contact series organizer Ryan Moore.

Beck is a 2023 IT Innovation Award winner, and the student body bestowed on him the Golden Apple Award for Excellence in Teaching in 2022. His service to the department also includes contributing to the Vanderbilt Biostatistics Summer Internship for Underrepresented Undergraduate program as a planning and selection committee member and instructor.

The Statistical Computing Series hosted by Vanderbilt University Medical Center's Department of Biostatistics features presentations on the implementation of statistical models and methods, statistical computation, and graphics. These informal meetings allow experienced statisticians and developers to share their expertise on computing topics with practitioners across Vanderbilt. On Monday, November 25, 2024, at 1:30pm on Teams, principal biostatistician Josh DeClercq will present "Mealtime: A Shiny app for meal planning." Here is his description of the talk:

Have you ever come home from the grocery store and realize you have no idea what to cook? Do you have stacks of cookbooks that largely go unused? Mealtime is a data-driven approach to meal planning. This presentation will touch on how to deconstruct a recipe into its essential components to derive its "makeability" score. I'll explain how I scale this process to accommodate large numbers of recipes and ingredients and discuss how I leverage data to accommodate dietary restrictions. Finally, I will demonstrate how it all comes together in a Shiny application, sharing some tips and challenges I encountered along the way.

For access to this webinar, contact series organizer Ryan Moore.