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Analysis of Infant Growth Curves Using Multivariate Adaptive Splines
Author(s) -
Zhang Heping
Publication year - 1999
Publication title -
biometrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.298
H-Index - 130
eISSN - 1541-0420
pISSN - 0006-341X
DOI - 10.1111/j.0006-341x.1999.00452.x
Subject(s) - multivariate statistics , multivariate analysis , growth curve (statistics) , multivariate adaptive regression splines , computer science , statistics , mathematics , econometrics , regression analysis , nonparametric regression
Summary. In this paper, we study the effect of cocaine use by a pregnant woman on the growth of her infant after birth. Using a data set from a retrospective study, we found that cocaine use was a marginally significant contributor to the infant growth as measured by bodyweight. Prom a statistical point of view, the data represent a common, though complex, structure that has received little: attention in the statistical literature. To analyze these data, we adopt and further enhance an approach developed recently called MASAL (multivariate adaptive splines for the analysis of longitudinal data). In addition to the fitting of growth curves, we demonstrate particularly how to explore and estimate the underlying covariance structures for the longitudinal data that were collected from a rather irregular schedule.