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Re: st: linear and quadratic trend analysis


From   Shelly Mahon <mdmahon@wisc.edu>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: linear and quadratic trend analysis
Date   Wed, 05 Mar 2008 11:43:03 -0700

Hi there, 
Thank you for your response.  I will give it a try with regress.
Shelly
Shelly Mahon
Ph.D. Candidate
University of Wisconsin-Madison
Human Development and Family Studies
1430 Linden Drive 
Madison, WI 53706-1575
email: mdmahon@wisc.edu



----- Original Message -----
From: Maarten buis <maartenbuis@yahoo.co.uk>
Date: Tuesday, March 4, 2008 2:01 pm
Subject: Re: st: linear and quadratic trend analysis
To: statalist@hsphsun2.harvard.edu


> It is easiest to this in -regress-. Notice that -anova- is just a weird
> way of doing -regress- (though some disciplines would say that
> -regress- is a weird way of doing an -anova-). Also, I would not limit
> the analysis to linear and quadratic terms. I find the restricted cubic
> splines created with -mkspline- in Stata 10 quite useful. 
> 
> -- Maarten
> 
> --- Shelly Mahon <mdmahon@wisc.edu> wrote:
> 
> > Hi there,
> > I am conducting a study using the National AddHealth data set.  After
> > running factorial anovas, it is clear that I need to follow up with 
> a
> > trend analysis.  I figured out how to run graphs, but does anyone
> > have information on running the statistical tests for trends.  The
> > study has four continuous outcome variables, plus sex, age, and grade
> > level with one  categorical independent variable.  Any help is much
> > appreciated.
> > Shelly
> > 
> > Shelly Mahon
> > Ph.D. Candidate
> > University of Wisconsin-Madison
> > Human Development and Family Studies
> > 1430 Linden Drive 
> > Madison, WI 53706-1575
> > email: mdmahon@wisc.edu
> > 
> > *
> > *   For searches and help try:
> > *   http://www.stata.com/support/faqs/res/findit.html
> > *   http://www.stata.com/support/statalist/faq
> > *   http://www.ats.ucla.edu/stat/stata/
> > 
> 
> 
> -----------------------------------------
> Maarten L. Buis
> Department of Social Research Methodology
> Vrije Universiteit Amsterdam
> Boelelaan 1081
> 1081 HV Amsterdam
> The Netherlands
> 
> visiting address:
> Buitenveldertselaan 3 (Metropolitan), room Z434
> 
> +31 20 5986715
> 
> http://home.fsw.vu.nl/m.buis/
> -----------------------------------------
> 
> 
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*
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