|Date: ||Fri, 6 Apr 2007 13:29:54 -0700|
|Reply-To: ||LC <lmc.cyy@GMAIL.COM>|
|Sender: ||"SAS(r) Discussion" <SAS-L@LISTSERV.UGA.EDU>|
|From: ||LC <lmc.cyy@GMAIL.COM>|
|Subject: ||Modeling strategy|
|Content-Type: ||text/plain; charset="iso-8859-1"|
I have a longitudinal data set like this. A number of categorical
health measures, along with individual characteristics such as age and
sex, were taken for 100 adults at N=4 waves of interview in 1980s.
Then starting in 2000 (every year until 2006) we collected the annual
Medicare reimbursement records for those eligible survivors from this
group. One of the research questions is how health status measured
earlier affects the Medicare expenses later on. Any suggestions for
appropriate modeling strategy? Thanks.