# st: stratifying after regression

 From "David Winter" To Subject st: stratifying after regression Date Wed, 9 Nov 2005 13:25:27 -0000

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Dave

***********************************************************
Mr David L. Winter, HNC
IT Manager (BCCSS Study)
Department of Public Health & Epidemiology
University of Birmingham
Edgbaston
Birmingham
B15 2TT
UK
tel: +44 (0)121 4146766
fax: +44 (0)121 4147923
***********************************************************

-----Original Message-----
From: Raoul C Reulen
Sent: 09 November 2005 11:44
To: David Winter
Subject: FW: stratifying after regression

Hello,

Let's say you want to compare the blood pressure between two groups by
using multivariable linear regression, and the model that looks like
this;

.xi: reg BP i.age i.sexe group i.age*group

Where:

"BP" is blood pressure
"Group" is coded as 0 (group A) and 1 (group B)

Now, because of the interaction between age and group, I want to report
the difference in mean blood pressure between the two groups stratified
by age, but still adjusted for sex. What is the way to do it?

A) by creating several regression models for every age group, where the
regression coefficient of the variable "group" is the mean difference in
blood pressure between the two groups:

.xi: reg BP i.sexe group if age==1
.xi: reg BP i.sexe group if age==2
.xi: reg BP i.sexe group if age==3
etc.

or

B) by using the full model .xi: reg  BP i.age i.sexe group i.age*group
and using .adjust to predict the means of group for every age group:

.adjust sex if age==1 , by(group)
.adjust sex if age==2 , by(group)
.adjust sex if age==3 , by(group)
etc.

The results differ slightly because in example A you use data for the
variable "sex" only for the age group of interest, but in example B you
use all the data on "sex" (so for all age groups). What is the correct
way?

Thanks for the help.

Raoul

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