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Free webinar: Statistical Model Diagnostics and Validation Techniques using R

By Events

Sat, April 30, 11am West Africa Time (WAT)

Organized by the OSUN R USERS GROUP, Nigeria, and coordinated by Timothy A. OGUNLEYE. Speaker Kevin O’Brien is an active contributor of the R Consortium’s Inclusion, Diversity, Equity, and Accessibility (IDEA) Working Group. The R-Community IDEA is a top level project of the R-Consortium with the goal of broadly considering how the R Consortium can best encourage and support diversity and inclusion across a variety of events and platforms. This includes Code of Conduct development, speaker support, and connecting with the global R-User community. If you’d like to learn more or get involved, please join our monthly public meeting.

Model validation is a vital part of the statistical modeling process, but is often overlooked in statistical courses. This process allows the analyst to properly validate the assumptions underlying the model, once applied to the data.

In this presentation, we will look at residual analysis and influence measures for linear models, with some associated topics. The talk is aimed at students and early career data professionals who have already encountered conventional regression analyses, and are familiar with the model fitting process in R (i.e. the ‘’lm()’’ function).

The talk will introduce a mixture of graphical procedures, statistical measures and hypothesis tests, which the attendees are invited to learn more about beyond the talk. The talk will feature the {CAR} R package, but all of the other functionality is available in Base R or Tidyverse.

Register here