ASA Connect

On behalf of the Southern Ontario Regional Association of the Statistical Society of Canada and the Southern Ontario Chapter of the ASA  I am delighted to announce an upcoming workshop by Prof. John Fox on Regression Diagnostics. This on-line workshop will take place on Thursday May 19 and Friday May 20 from 11 am to 5 pm EDT.

Abstract: "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.

Topics to be covered include

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 non-constant 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

Please use the following link to register: 2022 SORA-TABA Annual Workshop & DLSPH Biostatistics Research Day Tickets, Thu, 19 May 2022 at 11:00 AM | Eventbrite

Speaker Bio: 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), A Mathematical Primer for Social Statistics, Second Edition (Sage, 2021), and, with Sanford Weisberg, An R Companion to Applied Regression, Third Edition (Sage, 2019). He continues to work on the development of statistical methods and their implementation in software. Professor Fox is an elected member of the R Foundation for Statistical Computing and an associate editor of the Journal of Statistical Software.

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Tony Panzarella
Assistant Professor
Dalla Lana School of Public Health, University of Toronto
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