Wuzzy wrote:
Walter Willett has a whole chapter on this subject in his book Nutritional
Epidemiology. It should be considered required reading before attempting to
model anything that has to do with diet.
Thanks this is a really good book, not just for ppl wanting to study
nutrition
Hi
On 30 Jan 2002, Wuzzy wrote:
Anyway I'm currently going on the definition of adjusted for 1 2 and
3 as the following equation:
adjusted variable=variable^-variable
(where variable-hat represents the variable predicted by 1 2 and 3 in
a multivariate equation and variable is just the
Walter Willett has a whole chapter on this subject in his book Nutritional
Epidemiology. It should be considered required reading before attempting to
model anything that has to do with diet.
Thanks this is a really good book, not just for ppl wanting to study
nutrition but surveys in
David Heiser wrote:
I find it extremely difficult to interpret multivariate equations.
Are there any good books on conceptualizing the equation?
Modelling the effects of macronutrients on risk of disease is complicated
because the sum of the macronutrients in the diet equal the total energy
[ ... ]
Is doing a univariate regression between the variable you want to
adjust for and your predictor the only way to adjust for values as
Univariate? Absolutely not. *Multiple* regression gives
partial regression coefficients. Those adjust.
I find it extremely difficult
-Original Message-
From: [EMAIL PROTECTED]
[mailto:[EMAIL PROTECTED]]On Behalf Of Wuzzy
Sent: Thursday, January 24, 2002 3:30 PM
To: [EMAIL PROTECTED]
Subject: Re: how to adjust for variables
I find it extremely difficult to interpret multivariate equations.
Are there any good books
On 21 Jan 2002 16:53:31 -0800, [EMAIL PROTECTED] (Wuzzy) wrote:
Pretend you want to see how fat relates to cancer risk
fat Kcalcancer
1 2 100
2 4 120
3 6 130
4 8 140
5 10 150
6 12 160
7 14 170
8 16 180
also if you ajdust by using residuals, do you still have to factor in
KCal in your final regression equation?
it would seem to me that you should if you have other variables that
might be confounded by KCal, but otherwise you wouldn't.
Pretend you want to see how fat relates to cancer risk
fat Kcalcancer
1 2 100
2 4 120
3 6 130
4 8 140
5 10 150
6 12 160
7 14 170
8 16 180
9 18 190
10 20 200
You have to
