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From |
Roger Newson <roger.newson@kcl.ac.uk> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: quick question about spline |

Date |
Wed, 07 Apr 2004 10:58:15 +0100 |

At 01:02 07/04/04 -0700, Shige wrote:

One possibility is to define separate splines for males and females. For instance, if you have a basis of reference splines sp_1,Dear All, For example, in a regression model where age is one of the independent variables. I am not sure the functional form of age so I want to use age spline in the model. I choose cubic spline using "frencurv, power(3)". Now I want to test whether there is gender difference in age effect, can I simplely generate a set of interaction terms between gender and the set of spline variables or there are something else I need to do? Thanks!

sp_2 etc. and a variable -sex- which is one for males and two for females, then you can type

foreach X of var sp_* {

gene m`X'=`X'*(sex==1)

gene f`X'=`X'*(sex==2)

}

and create a list of variables msp_1, msp_2 etc. which are equal to the spline for males and to zero for females, and a list of variables fsp_1, fsp_2 etc. which are equal to zero for males and to the spline for females. If you then type

regress y msp_* fsp_*

then you will have the combined set of parameters for 2 spline models, 1 for males and 1 for females. And you can measure "interactions" (ie differences between differences) using -lincom-. For instance, if sp_3 is the reference spline at age 30 and sp_5 is the reference spline at age 50, then you can type

lincom msp_5-msp_3-fsp_5+fsp_3

and calculate a confidence interval for the difference between the male change between ages 30 and 50 and the female change between ages 30 and 50.

I hope this helps.

Roger

--

Roger Newson

Lecturer in Medical Statistics

Department of Public Health Sciences

King's College London

5th Floor, Capital House

42 Weston Street

London SE1 3QD

United Kingdom

Tel: 020 7848 6648 International +44 20 7848 6648

Fax: 020 7848 6620 International +44 20 7848 6620

or 020 7848 6605 International +44 20 7848 6605

Email: roger.newson@kcl.ac.uk

Website: http://www.kcl-phs.org.uk/rogernewson

Opinions expressed are those of the author, not the institution.

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**Follow-Ups**:**Re: st: quick question about spline***From:*Shige Song <ssong@nicco.sscnet.ucla.edu>

**References**:**st: quick question about spline***From:*Shige Song <ssong@nicco.sscnet.ucla.edu>

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