|Date: ||Fri, 4 Dec 2009 20:42:10 -0800|
|Reply-To: ||tanwan <tanwanzang@YAHOO.COM>|
|Sender: ||"SAS(r) Discussion" <SAS-L@LISTSERV.UGA.EDU>|
|From: ||tanwan <tanwanzang@YAHOO.COM>|
|Subject: ||Re: Survey model type - nlmixed or surveylogistic?|
|Content-Type: ||text/plain; charset=ISO-8859-1|
Large scale national surveys with clustering (and perhaps
stratification)? SurveyLogistic wins hands down.
SAS's survey-something procedures were tailor-made for such large
scale survey observational data, like nationally-representative
studies. Surveylogistic allows for model fit testing, using the
methods that are already available with logistic regression, without
loss of generality. SurveyReg, SurveyLogistic, SurveyFreq procs etc
have already been used extensively, for example in the analysis of
NHANES (do a google search) study data or see
for an illustration.