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Date:   Tue, 23 Jun 2009 14:04:54 -0700
Reply-To:   maryann <jiangqiyangfang@GMAIL.COM>
Sender:   "SAS(r) Discussion" <SAS-L@LISTSERV.UGA.EDU>
From:   maryann <jiangqiyangfang@GMAIL.COM>
Subject:   Analysis Of Parameter of interaction terms in Proc Genmod (GLM)
Comments:   To:
Content-Type:   text/plain; charset=ISO-8859-1

Below is part of Analysis Of Parameter from my Proc Genmod procedure. I am trying to model insurance premium against interaction of Group (grp), longevity (long) and Number of Claims (NumC). However, I find the results repeated twice (N, Y) for some combination of Grp, Long and NumC. The classification of variables are exclusive and exhaustive. What does the result mean? How to get rid of the repetitions.

Your advice is greatly appreciated.


Parameter ? Grp Long NumC Estimate P-value Grou(GrpF*Long*NumC) N NGH-4 0-2 B1 0.0473 0.4062 Grou(GrpF*Long*NumC) Y NGH-4 0-2 B1 0.3662 0.0008 Grou(GrpF*Long*NumC) N NGH-4 0-2 Z0 0.0557 0.1216 Grou(GrpF*Long*NumC) Y NGH-4 0-2 Z0 0.181 <.0001 Grou(GrpF*Long*NumC) N NGH-4 3-5 B1 0.1279 0.007 Grou(GrpF*Long*NumC) Y NGH-4 3-5 B1 0.4069 0.0019 Grou(GrpF*Long*NumC) N NGH-4 3-5 D3 0.52 0.0042 Grou(GrpF*Long*NumC) N NGH-4 3-5 Z0 0.0363 0.3109 Grou(GrpF*Long*NumC) Y NGH-4 3-5 Z0 0.1416 0.0003 Grou(GrpF*Long*NumC) N NGH-4 6-8 B1 0.1042 0.058 Grou(GrpF*Long*NumC) Y NGH-4 6-8 B1 0.2639 0.0153 Grou(GrpF*Long*NumC) N NGH-4 6-8 C2 0.1596 0.3795 Grou(GrpF*Long*NumC) N NGH-4 6-8 Z0 -0.0164 0.6489 Grou(GrpF*Long*NumC) Y NGH-4 6-8 Z0 0.1326 0.0025

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