Transcription of SAS Global Forum 2007 Posters
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SAS Global Forum 2007 Posters
Paper 143- 2007 regression Splines with Longitudinal DATA Chan Hee Jo, University of Arkansas Medical Sciences, Little Rock, AR Jeff Gossett, University of Arkansas Medical Sciences, Little Rock, AR Pippa Simpson, University of Arkansas Medical Sciences, Little Rock, AR ABSTRACT In many clinical trial studies, patients are observed and/or measured on multiple occasions. To account for the longitudinal nature of the data, a mixed model analysis implemented using SAS PROC MIXED is commonly used. It is typical to make comparisons between dose or treatment groups, possibly controlling for demographic variables. When the dose response curve is non-linear, it can be difficult to find an appropriate curve, and model misspecification is common. We will present an alternative to non-linear mixed models that avoids the problem of specifying a parametric model.
Paper 143-2007 Regression Splines with Longitudinal DATA Chan Hee Jo, University of Arkansas Medical Sciences, Little Rock, AR Jeff Gossett, University of Arkansas Medical Sciences, Little Rock, AR
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