turn on suggestions

Auto-suggest helps you quickly narrow down your search results by suggesting possible matches as you type.

Showing results for

Find a Community

- Home
- /
- Analytics
- /
- Stat Procs
- /
- parameter estimates in logistic regression

Topic Options

- Subscribe to RSS Feed
- Mark Topic as New
- Mark Topic as Read
- Float this Topic for Current User
- Bookmark
- Subscribe
- Printer Friendly Page

- Mark as New
- Bookmark
- Subscribe
- Subscribe to RSS Feed
- Highlight
- Email to a Friend
- Report Inappropriate Content

05-17-2010 09:32 AM

Hi,

I wanted to know that, while developing a logistic regression do i use categorical variables in class statement and obtain individual coeffs for each of the categories or should i not use class statement and so obtain only one coeff for a categorical variable?

Pls help.

I wanted to know that, while developing a logistic regression do i use categorical variables in class statement and obtain individual coeffs for each of the categories or should i not use class statement and so obtain only one coeff for a categorical variable?

Pls help.

- Mark as New
- Bookmark
- Subscribe
- Subscribe to RSS Feed
- Highlight
- Email to a Friend
- Report Inappropriate Content

05-17-2010 10:00 AM

If the categorical variable has more than two levels, you must either use the class statement or recode the variable into multiple two-level variables. If you don't, then you are treating the variable as a ratio scale rather than nominal scale variable.

If the categorical variable is binary, coded 0/1, then you get the same inference using either the CLASS statement or treating the variable as continuous.

If the categorical variable is binary, coded 0/1, then you get the same inference using either the CLASS statement or treating the variable as continuous.

- Mark as New
- Bookmark
- Subscribe
- Subscribe to RSS Feed
- Highlight
- Email to a Friend
- Report Inappropriate Content

05-17-2010 10:55 AM

Thanks..

The categorical vars in my data has more than 2 categories..and some have even 10-12 categories...

i have divided the data into 70:30 ratio for model building and development respectively. So when i use class statement, i will get estimates for each of the categories.. i would like to know that basis these estimates how do i obtain the probabilty of the event under consideration for each record ( i.e how to get the cross product of the x's and the beta's so that i can obtain the logit and get the probability)....

pls help Message was edited by: k745

The categorical vars in my data has more than 2 categories..and some have even 10-12 categories...

i have divided the data into 70:30 ratio for model building and development respectively. So when i use class statement, i will get estimates for each of the categories.. i would like to know that basis these estimates how do i obtain the probabilty of the event under consideration for each record ( i.e how to get the cross product of the x's and the beta's so that i can obtain the logit and get the probability)....

pls help Message was edited by: k745

- Mark as New
- Bookmark
- Subscribe
- Subscribe to RSS Feed
- Highlight
- Email to a Friend
- Report Inappropriate Content

05-20-2010 12:07 PM

Use the CLASS statement, and estimates for each category (i.e., level) will be interpreted against the highest level in that class variable (SAS default). With so many categories, you may run into estimation problems if each category does not include observations of both 0's and 1's. In this case, consider pooling categories in a meaningful way.