BookmarkSubscribeRSS Feed
🔒 This topic is solved and locked. Need further help from the community? Please sign in and ask a new question.
MC1
Calcite | Level 5 MC1
Calcite | Level 5

I was trying understand how SE (standard error) is calculated in SAS for parameters while doing logisitic regression. Once we have SE , we can calculate wald chi square statistic and finally p value.

 

Any insight will be very helpfull.

 

 

1 ACCEPTED SOLUTION

Accepted Solutions
ChrisHemedinger
Community Manager

Formulas and methods are described in the PROC LOGISTIC documentation.  Have a look at the Overview section, and then the Details section for the methods that are of interest.  (Example: Exact Conditional Logistic Regression).

 

You can also find a ton of great information in the Stats and OR focus area on support.sas.com.  Example: LOGISTIC Procedure.

It's time to register for SAS Innovate! Join your SAS user peers in Las Vegas on April 16-19 2024.

View solution in original post

2 REPLIES 2
ChrisHemedinger
Community Manager

Formulas and methods are described in the PROC LOGISTIC documentation.  Have a look at the Overview section, and then the Details section for the methods that are of interest.  (Example: Exact Conditional Logistic Regression).

 

You can also find a ton of great information in the Stats and OR focus area on support.sas.com.  Example: LOGISTIC Procedure.

It's time to register for SAS Innovate! Join your SAS user peers in Las Vegas on April 16-19 2024.
MC1
Calcite | Level 5 MC1
Calcite | Level 5

Thanks

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
  • 2 replies
  • 1338 views
  • 5 likes
  • 2 in conversation