Contents
- Index
Analysis of Deviance (ANODEV)
Select the 3 models that you want in Analysis of Deviance (ANODEV) test (Skalski et al. 1993) by clicking on them with the mouse to highlight them. You must select 3 models:
Global model -- model with largest number of parameters that explains the total deviance
Covariate model -- model with the covariate that you want to test
Constant model -- model with the fewest number of parameters that explains only the mean level of the effect you are examining.
As an example, to compute the ANODEV for survival with a trend {S(T)} model, you would specify the Covariate model as {S(T)}, the Global model as {S(t)}, and the Constant model as {S(.)}. The 3 models you select will automatically be classified based on their number of parameters as the Global, Covariate, and Constant models. Note that if the 3 models you select are not properly nested to form the ANODEV, MARK will not tell you. The program uses the number of parameters of each model to determine which is which. No check to identify improper nesting is provided.
When you have completed your selection, click on the OK button to proceed with the test. Otherwise, click on the Cancel button to return to the previous window without making any changes.
ANODEV provides a means of evaluating the impact of a covariate by comparing the amount of deviance explained by the covariate against the amount of deviance not explained by this covariate. Often this metric is useful as an r^2 correlation coefficient for models.