How to do Logistic Regression

Logistic regression is a widely used technique in database marketing for creating scoring models and in risk classification . It helps develop propensity to buy, and propensity to default scores (and even propensity to fraud ) .

This is more of a practical approach to make the model than a theory based approach.(I was never good at the theory ;) )

If you need to do Logistic Regression using SPSS, a very good tutorial ia available here

(Note -Copyright 1998, 2008 by G. David Garson.
Last update 5/21/08.)

For SAS a very good tutorial is here –

SAS Annotated Output
Ordered Logistic Regression. UCLA: Academic Technology Services, Statistical Consulting Group.

from (accessed July 23, 2007).

For R the documentation (note :Still searching for R ‘s Logistic Regression ) is here

lrm(formula, data, subset, na.action=na.delete, method=””, model=FALSE, x=FALSE, y=FALSE, linear.predictors=TRUE,, penalty=0, penalty.matrix, tol=1e-7, strata.penalty=0, var.penalty=c(‘simple’,’sandwich’), weights, normwt, …)

For linear models in R –

An extremely good book if you want to work with R , and do not have time to learn it is to use the GUI
rattle and look at this book

2 thoughts on “How to do Logistic Regression

Leave a Reply

Fill in your details below or click an icon to log in: Logo

You are commenting using your account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s