SoCal R Users Group (SoCal RUG): Advanced Regression Models with R Applications

PLEASE GO TO SoCal R User Group MEETUP TO LEARN MORE:

The sign-up is on Eventbrite.

Hello:
SoCal R User Group is Southern California's premier data science meetup group. They holding an event that is sure to be a great educational event.
On October 1, they will have a workshop on advanced regression techniques. Dr. Olga gave this course a couple of years ago and it was a HUGE success. The sign-up is on Eventbrite.

In this workshop, you will learn a variety of regression models. We will give their definitions, discuss goodness-of-fit criteria, present fitted models, interpret estimated regression coefficients, and use the fitted models for prediction. The models will be limited to linear regression, Box-Cox transformation, gamma regression, ordinary logistic regression, Poisson regression, beta regression, longitudinal (repeated measures) regression, and hierarchical model.

The workshop is designed to be hands-on. Participants are required to bring laptops and be ready to write R, analyze data and interpret results. For each model, we present an example with a complete R code, and then will an exercise to work on. Workshop participants should be familiar with algebraic expressions of different probability distributions and have a fundamental knowledge of simple linear regression: normally distributed random error, continuous and categorical independent variables (requiring creating dummy variables).

The material covered by the workshop will be taken from my recently published book “Advanced Regression Models with SAS and R Applications”, CRC Press, 2018.

For more details and course content, check out the GitHub repo.

If you have questions please reach out to [John@JPPeach.com](mailto:John@JPPeach.com).
There is a nominal fee for this event to help cover some of the costs, such as lunch. However, there is a limited number of tickets for those that the cost of the event will create a hardship. To apply for one of these tickets please reach out to [John@JPPeach.com](mailto:John@JPPeach.com) with a brief statement of your situation.