Assumptions of the Linear Model

October 6, 2011 | 0 Comments

Linear Assumptions from the Analysis Factor – Assumptions of linear regression (and ANOVA) are about the residuals, not the normality or independence of the response variable (Y). If you don’t know what this means be sure to read this brief … Continue reading →
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Example 9.6: Model comparison plots (Completed)

September 21, 2011 | 0 Comments

We often work in settings where the data set has a lot of missing data-- some missingness in the (many) covariates, some in the main exposure of interest, and still more in the outcome. (Nick describes this as "job security for statisticians").Some ana...
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Model Validation: Interpreting Residual Plots

July 18, 2011 | 0 Comments

When conducting any statistical analysis it is important to evaluate how well the model fits the data and that the data meet the assumptions of the model. There are numerous ways to do this and a variety of statistical tests to evaluate deviations from model assumptions. However, there is little ...
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