Research data has grown to unprecedented sizes making local storage, efficient data analysis and long-term archiving a significant challenge. In this session we will introduce the stages of the research data lifecycle. We will discuss how data management plays a role at key stages of the data lifecycle. Finally, we will review tools and resources...
This is an overview of how our Research team is working with researchers from different domains to enable research and to help accelerate projects. Outlining the various resources, tools, and different approaches to empower institutions and researchers to do more, faster. In this session we can discuss specifics on how these approaches might apply to...
Survival analysis models time-to-event outcomes. This workshop introduces usage of the survival package in R for some of the most commonly used survival methods. Topics include data setup, Kaplan-Meier estimates and curves, log-rank tests, fitting the Cox proportional hazards model, assessing the proportional hazards assumption, and modeling time-varying covariates. Experience in both survival analysis and...