BookmarkSubscribeRSS Feed
🔒 This topic is solved and locked. Need further help from the community? Please sign in and ask a new question.
juanvg1972
Pyrite | Level 9

Hi,

 

I have some questions about proc logistics procedure (SAS EG):

 

1) 'Effects' option: I can inclusd vars as 'cross', 'nest', 'factorial', what does it mean??, I ususally use 'main'.

2) How can I interpret 'Wald Chi-square', I thinks that measure the importance of the var in the model and the higher the value the better, am I wrong?

 

Any help will be greatly appreciated

1 ACCEPTED SOLUTION

Accepted Solutions
PaigeMiller
Diamond | Level 26
  1. Crossed and nested factors are a fundamental concept in designing studies or experiments, and thus it affects the way you analyze the data. (There is no such thing as "factorial", both crossed and nested are "factors"). Your favorite search engine will find plenty to read on this topic, for example: https://www.theanalysisfactor.com/the-difference-between-crossed-and-nested-factors/
  2. The Chi-square does not indicate "importance". It indicates statistical significance. If the p-value (Pr>ChiSq) associated with the Wald Chi-Square is close to zero (the usual cutoff is <0.05) then the term is statistically significant in the model (in layman's terms, it is predicted a real effect and not predicting noise). If it is >0.05, then in layman's terms we can say that this model term is explaining noise (which is not a good thing) and so the term does not contribute to making the model more predictable.
--
Paige Miller

View solution in original post

1 REPLY 1
PaigeMiller
Diamond | Level 26
  1. Crossed and nested factors are a fundamental concept in designing studies or experiments, and thus it affects the way you analyze the data. (There is no such thing as "factorial", both crossed and nested are "factors"). Your favorite search engine will find plenty to read on this topic, for example: https://www.theanalysisfactor.com/the-difference-between-crossed-and-nested-factors/
  2. The Chi-square does not indicate "importance". It indicates statistical significance. If the p-value (Pr>ChiSq) associated with the Wald Chi-Square is close to zero (the usual cutoff is <0.05) then the term is statistically significant in the model (in layman's terms, it is predicted a real effect and not predicting noise). If it is >0.05, then in layman's terms we can say that this model term is explaining noise (which is not a good thing) and so the term does not contribute to making the model more predictable.
--
Paige Miller

sas-innovate-2024.png

Don't miss out on SAS Innovate - Register now for the FREE Livestream!

Can't make it to Vegas? No problem! Watch our general sessions LIVE or on-demand starting April 17th. Hear from SAS execs, best-selling author Adam Grant, Hot Ones host Sean Evans, top tech journalist Kara Swisher, AI expert Cassie Kozyrkov, and the mind-blowing dance crew iLuminate! Plus, get access to over 20 breakout sessions.

 

Register now!

What is ANOVA?

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.

Discussion stats
  • 1 reply
  • 1213 views
  • 0 likes
  • 2 in conversation