Re: Continuous covariates interpretation in glme

["Ali & Hind Lazrak" <alazrak@telus.net>]

Hello

 

You are right, I wanted to transform the continuous covariates for ease of interpretation. However, by standardize, I meant x-mean(x)/sqrt(var(x).

For newbies like me :

I have found that scale() does the job.

 

Thank you Stella.

Hind

----- Original Message -----

From: Stella Karuri

To: Splus listserve

Sent: Wednesday, February 06, 2008 9:46 AM

Subject: Re: [S] Continuous covariates interpretation in glme

Splus does not standardize continous variates ? by standardizing I believe you mean centering to improve interpretability, (if x is the continuous covariate, x*=(x-mean(x))).

 

When you specify the formula, you can center your covariate i.e. instead of

glme( y~ x);

have

xst<- x-mean(x); glme(y~xst)

 

stella

---

From: s-news-owner@lists.biostat.wustl.edu [mailto:s-news-owner@lists.biostat.wustl.edu] On Behalf Of Ali & Hind Lazrak
Sent: Tuesday, February 05, 2008 5:57 PM
To: Splus listserve
Subject: [S] Continuous covariates interpretation in glme

 

Dear all,

 

I ran a generalized mixed effects model to predict a binary outcome using the 'glme' procedure. This model has two random subject (persons nested within companies) and 5 fixed effects terms for the subjects.

Among these 5 fixed effects variables, 2 are continuous.

As I am interpreting the results I have a question pertaining to the treatment of continuous covariates:

Does Splus standardize automatically continuous covariates?

 

Thank you kindly for your answer.

 

Hind