Welcome to Statistical Consulting and Collaborative Research Unit

The Statistical Consulting and Collaborative Research Unit (SCCR) at the University of Waterloo is the unit through which the Department of Statistics and Actuarial Science provides statistical advice to those working on research problems.

The faculty and staff associated with the Statistical Consulting and Collaborative Research Unit will be pleased to help with:

Designing experiments, surveys, and other studies.
Monitoring intermediate stages of long-term projects.
Analyzing data, and interpreting results.
Contacting an expert in the particular area of statistics or mathematics which you wish to use.
Arranging a presentation on a statistical topic.

Why not see us before you start your experiment or survey? The incorporation of statistical principles into your design may well save time and money, and ultimately lead to much more clearly defined conclusions.

We will be glad to help!

Events

June 22, 2018Introduction to Regression Analysis with R
This workshop will provide participants with an introduction to simple and multiple linear regression. Topics covered in this workshop includes the regression models, model assumptions, interpretation of coefficients, significance testing, interactions between variables and the use and interpretation of dummy variables. Model checking methods such as residual plots and collinearity diagnostics will also be covered. Several methods for model selection will be included.

Registration is free and open to all University of Waterloo faculty, staff and graduate students.
July 13, 2018Introduction to Poisson Regression with R
This workshop will provide participants with an introduction to Poisson regression used to model counts observed in a period of time. Topics covered in this workshop includes the Poisson regression model, model assumptions, interpretation of coefficients, significance testing, interactions between variables and the use and interpretation of dummy variables. Model checking methods such as residual plots and goodness-of-fit tests will also be covered. Several methods for model selection will be included.

Registration is free and open to all University of Waterloo faculty, staff and graduate students.
Aug. 17, 2018Introduction to Logistic Regression with R
This workshop will show participants how to estimate and make inferences about a binary response probability and related quantities through logistic regression. Topics covered in this workshop includes the logistic regression model, model assumptions, interpretation of coefficients, significance testing, interactions between variables and the use and interpretation of dummy variables. Model checking methods such as residual plots and goodness-of-fit tests will also be covered. Several methods for model selection will be included.

Registration is free and open to all University of Waterloo faculty, staff and graduate students.