Can I estimate the marginal contribution of each variable in logistic regression by Standardized Estimate, received in stb option?
Can I calculate marginal contribution of variables by other options or formula?
I don't think the concept of marginal contribution of a variable in a regression model exists. When your x-variables are correlated with one another, they don't split up the sum of squares of the model uniquely or independently. The effect of a term in the model changes as other terms are added or removed from the model, and so there isn't even a unique effect of each term (exception: if your X-matrix is orthogonal then there is a unique effect of each term).
I don't think the concept of marginal contribution of a variable in a regression model exists. When your x-variables are correlated with one another, they don't split up the sum of squares of the model uniquely or independently. The effect of a term in the model changes as other terms are added or removed from the model, and so there isn't even a unique effect of each term (exception: if your X-matrix is orthogonal then there is a unique effect of each term).
From the documentation at https://documentation.sas.com/?cdcId=pgmmvacdc&cdcVersion=9.4&docsetId=statug&docsetTarget=statug_lo...
See this note on assessing variable importance. The partial correlation for each variable is available as discussed.
Yes, I know that Standardized Estimate can be used, but we received question for other estimation on this topics.
Registration is now open for SAS Innovate 2025 , our biggest and most exciting global event of the year! Join us in Orlando, FL, May 6-9.
Sign up by Dec. 31 to get the 2024 rate of just $495.
Register now!
ANOVA, or Analysis Of Variance, is used to compare the averages or means of two or more populations to better understand how they differ. Watch this tutorial for more.
Find more tutorials on the SAS Users YouTube channel.