Statistical Models Workshop Series - February 2018

Event at Life Sciences Institute



Time Price
Mon-Thurs, 12pm - 4pm
-
$36 – $50

About the Workshop Series
In this workshop series, we introduce various types of regression models and how they are implemented in R. We will cover linear regression, ANOVA, ANCOVA and mixed effects models for continuous response data, logistic regression binary response data, and Poisson and Negative Binomial regression for count response data.

You will learn:

the assumptions behind the different models,
how to interpret the main effects and interaction terms in a model,
various experimental design concepts that help maximize the power.
In R, you will learn:

the different functions used to build a statistical model,
how the formula object is used to specify all the model terms,
how to use the lsmeans package to answer specific questions.
Workshop 1: Monday, February 5th, 12:00 pm - 2:00pm
Workshop 2: Wednesday, February 7th, 2:00pm - 4:00pm
Workshop 3: Thursday, February 8th, 2:00pm - 4:00pm

Pre-Requisites
“Introduction to R” and “Working with Data” workshop series or equivalent knowledge of R.

Workshop Resources
Set up, Notes & Exercises available soon

Additional Resources:

Linear models and mixed models with R. Bodo Winter

• Tutorial 1

• Tutorial 2

Related Workshops
Intermediate R Programming and Reproducible Research - March 2018
Introduction to R - June 2018

Contact the Instructor
Carolyn Taylor – cgtaylor@stat.ubc.ca

For more events, take a look at our event calendar





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