FITTING GROWTH CURVE MODELS TO LONGITUDINAL DATA WITH MISSING OBSERVATIONS

被引：0

作者：

JOHNSON, WD ^{[1
]}

GEORGE, VT ^{[1
]}

SHAHANE, A ^{[1
]}

FUCHS, GJ ^{[1
]}

机构：

[1] LOUISIANA STATE UNIV,MED CTR,DEPT PEDIAT,NEW ORLEANS,LA 70112

来源：

HUMAN BIOLOGY | 1992年 / 64卷 / 02期

关键词：

D O I：

暂无

中图分类号：

Q98 [人类学];

学科分类号：

030303 ;

摘要：

We discuss the analysis of growth curve data with missing or incomplete information. The approach is to fit subject-specific models and then to carry out an analysis in terms of the estimated parameters. This achieves reduction of data and eliminates the need for special considerations for subjects with missing data. Although there is no perfect substitute for complete data, our approach provides a way to handle missing data using a straightforward application of well-known statistical methodology.

引用

页码：243 / 253

页数：11

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