Multivariate cubic spline smoothing in multiple prediction.
Comput Methods Programs Biomed
; 67(2): 131-6, 2002 Feb.
Article
em En
| MEDLINE
| ID: mdl-11809320
ABSTRACT
Given longitudinal data for several variables, including a given outcome variable, it is desired to predict the outcome for a specific individual, or more generally experimental unit, in such a way that the predicted value is both accurate and resistant (i.e. has good cross-validation). There are certain data-analytic difficulties associated with long-term multivariate longitudinal data that must be overcome in the prediction process. This paper provides a program written in the Statistical Analysis System (SAS) programming language, based generally on the Roche-Wainer-Thissen stature prediction model, that enables the researcher to overcome these difficulties.
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Base de dados:
MEDLINE
Assunto principal:
Simulação por Computador
/
Software
/
Modelos Estatísticos
Idioma:
En
Ano de publicação:
2002
Tipo de documento:
Article