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L11handout

# L11handout - PUBH 7430 Lecture 11 J Wolfson Division of...

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PUBH 7430 Lecture 11 J. Wolfson Division of Biostatistics University of Minnesota School of Public Health October 11, 2011

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Model diagnostics Plot of residuals vs. fitted values Plot Y - ˆ μ vs. ˆ μ , i.e. outcomes versus (estimated) mean Used to verify “reasonableness” of: Mean function: Look for trends in residuals with ˆ μ (lowess can be helpful) Variance function assumption: Compare variability in spread of residuals for different values of ˆ μ to hypothetical variance function
TotalTime: Gaussian GLM diagnostics 0.3 0.4 0.5 0.6 0.7 0.8 -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 Residuals vs. fitted values: Gaussian GLM Fitted values Residuals

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TotalTime: Gamma GLM diagnostics 0.4 0.5 0.6 0.7 0.8 0.9 -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 Residuals vs. fitted values: Gamma GLM Fitted values Residuals
FastTrials: Poisson GLM diagnostics

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