Event Phone: 1-610-715-0115

Cancellation Policy: If you cancel your registration at least two weeks before the course is scheduled to begin, you are entitled to a full refund (minus a processing fee of $50).

In the unlikely event that Statistical Horizons LLC must cancel a seminar, we will do our best to inform you as soon as possible of the cancellation. You would then have the option of receiving a full refund of the seminar fee or a credit towards another seminar. In no event shall Statistical Horizons LLC be liable for any incidental or consequential damages that you may incur because of the cancellation.

A 4-Day Livestream Seminar Taught by Vincent Arel-Bundock, Ph.D.

This seminar is designed to help you tackle the challenges of understanding and conveying complex statistical results. Coefficient estimates can often be difficult to interpret, and their substantive meaning are not always obvious. This course provides you with the tools and knowledge to overcome these obstacles, making it easier for you to present your findings with clarity and confidence.

Throughout the course, we’ll teach you an easy, consistent, and flexible approach to interpreting a wide range of statistical models in R. You’ll gain a deep understanding of statistical concepts such as predictions, contrasts, marginal means, marginal effects, odds ratios, and risk ratios. The course will introduce you to a powerful toolkit in R, specifically designed to compute and report the most appropriate quantities of interest for your use case.

To reinforce your learning, the course will include hands-on exercises that allow you to apply these concepts in real-world scenarios. By learning how to generate plots and tables to illustrate your findings and create reproducible reports, you’ll be able to convey your results effectively to your audience and stakeholders, even when dealing with intricate models.

By the end of this class, you’ll be well-equipped to not only make sense of complex statistical results but also to communicate them in a compelling and engaging manner, ensuring that your research or work has a lasting impact. With a comprehensive understanding of the distinctions between various statistical concepts and the ability to apply an advanced toolkit in R, you’ll be prepared to tackle statistical challenges with confidence.

The course content includes:

• • Clarifying distinctions between statistical concepts such as predictions, contrasts, marginal means, marginal effects, odds ratios, and risk ratios.
  • Introducing a powerful toolkit in R to compute and report the most appropriate quantities of interest for your use case.
  • Generating plots and tables to illustrate your findings.
  • Creating reproducible reports and slideshows for stakeholders.

You will also be introduced to several useful R packages, including:

• • marginaleffects: https://vincentarelbundock.github.io/marginaleffects
  • modelsummary: https://vincentarelbundock.github.io/modelsummary/