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ABSTRACT Heping Zhang, Yale University Department of Epidemiology and Public Health A mixed-effects multivariate adaptive splines model is proposed to
analyze
longitudinal or growth curves data that may or may not have been collected
through a regular measurement schedule. The MASAL (an acronym for
multivariate adaptive splines for the analysis of longitudinal data)
algorithm by Zhang (1994, 1997, 1999) is used to determine the
nonparametric fixed-effects in the mixed-effects multivariate adaptive
splines model. In addition, specific random effects are included in the
model. To demonstrate the potential of this new procedure, I will present
an analysis of a data set on the effect of cocaine use by pregnant women
on the growth of their infants after birth.
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