EEB225H1 Lecture Notes - Lecture 17: Analysis Of Covariance, Statistical Process Control, Biostatistics
18 Dec 2019
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Cumulative, but focus on what has not been tested yet. Allows one to exert statistical control over results. Different from experimental control, which refers to procedural modification. Y = a + x where a is categorical and x is continuous. An x variable that varies with y. May or may not vary with another x variable, which also makes it a confounder. Wish to control effect of covariate on y variable in order to better understand independent effect of x variable of interest. Like 1 way except covariate added to model. Test effect of groups after accounting for variance explained by covariate. 2: regression to see if covariate explains any of the variation in the data. 3: make sure slopes of regression for each level of categorical variable are the same.
