Regression Diagnostics Workshop

11:00am EST | Online


The Division of Biostatistics in the Dalla Lana School of Public Health at the University of Toronto is pleased to host the SORA-TABA Annual Workshop & DLSPH Biostatistics Research Day.

"Regression diagnostics" are methods for determining whether a regression model fit to data adequately represents the data. This workshop will present diagnostics for linear models fit by least squares, for generalized-linear models fit by maximum likelihood, for linear and generalized-linear mixed-effects models, and for linear regression models estimated by instrumental variables.

The workshop will cover the following topics over two days:

  1. Introduction and review of the normal linear model
  2. Examining and transforming regression data
  3. Unusual data: Outliers, leverage, and influence
  4. The response: Non-normality and nonconstant error variance
  5. Lack-of-fit: Detecting and correcting nonlinearity
  6. Diagnostics for generalized linear models
  7. Diagnostics for mixed-effects models and instrumental-variables estimation
  8. Collinearity diagnostics and wrap-up


John Fox is Professor Emeritus of Sociology at McMaster University in Hamilton, Ontario, Canada, where he was previously the Senator William McMaster Professor of Social Statistics. Professor Fox received a PhD in Sociology from the University of Michigan in 1972. He is the author of many articles and books on statistics, including, recently, Applied Regression Analysis and Generalized Linear Models, Third Edition (Sage, 2016), Using the R Commander: A Point-and-Click Interface for R (Chapman & Hall, 2018), Regression Diagnostics, Second Edition (Sage, 2019)

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