Here is a bit of Don's example, and then a closing comment about what
I had said, about interpreting coefficients.
On 10 Jan 2000 00:20:59 -0800, [EMAIL PROTECTED] (Donald F.
Burrill) wrote:
snip, much example
the coefficients b3 and b4 are indistinguishable from zero. Dropping
SEX and
There were several earlier messages, and then
I thought Don Burrill said most of what needed to be said --
On 20 Dec 1999 22:43:52 -0800, [EMAIL PROTECTED] (Donald F.
Burrill) wrote:
For openers, I quote from Pedhazur (2nd edition), p 329 (summary for
Chapter 9), so that we're all on the
Thanks for your replies, I have 5 minutes to reply to some of your comments because my
wife and friends are waiting for me to get home so we can go to New Orleans.
1. I agree with Joe that the term "dummy" in dummy coding is a rather dumb term to use
for indicator variables. The terms is
On Thu, 16 Dec 1999, Burke Johnson wrote:
A student of mine is getting ready to develop a GLM prediction model
that will include a mixture of categorical and quantitative predictor
variables. We will probably not include interaction terms in the model
(i.e., it will be a main effects only
Burke Johnson wrote:
Hi,
A student of mine is getting ready to develop a GLM prediction model that will
include a mixture of categorical and quantitative predictor variables. We will
probably not include interaction terms in the model (i.e., it will be a main effects
only model).
Furthermore, if you stick to doing sensible tests, the tests are independent of
the coding. For example, interaction tests are invariant to coding and so are
global tests of combined main effect + interaction (e.g., H0: age is not a risk factor
for
either sex vs. Ha: age is a risk factor for
On 16 Dec 1999 09:55:51 -0800, [EMAIL PROTECTED] (Burke
Johnson) wrote (with no control on line length) :
snip -- a GLM prediction model ... a main effects
only model
" Here's my question: Do you suggest using dummy
coding (0,1) or effects coding (1,0,-1) for the
categorical variables
Hi,
A student of mine is getting ready to develop a GLM prediction model that will include
a mixture of categorical and quantitative predictor variables. We will probably not
include interaction terms in the model (i.e., it will be a main effects only model).
Here's my question: Do you
- Original Message -
From: Burke Johnson [EMAIL PROTECTED]
To: [EMAIL PROTECTED]; [EMAIL PROTECTED]
Sent: Thursday, December 16, 1999 9:13 AM
Subject: Prediction Model Question
| Hi,
|
| A student of mine is getting ready to develop a GLM prediction model that will
|include a mixture
