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Estimation of Growth Norms from Incomplete Longitudinal Data

✍ Scribed by Prof. Robert F. Woolson; William R. Clarke

Publisher
John Wiley and Sons
Year
1987
Tongue
English
Weight
723 KB
Volume
29
Category
Article
ISSN
0323-3847

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✦ Synopsis

Longitudinal atudiea are rarely complete due to attrition, miatimed vieits and observations misaing at random. When the data are missing a t random it L poasible to estimate the primary location parameters of interest by constructing a modification of ZELLNEB'S (1962) seemingly unrelated regression eatimator. Such a procedure ia developed in this paper and ie applied to a longitudinal etudy of coronary riak factors in children. The method consiata of two etagea in which the oovariance matrix is estimated a t the first etege. Ueing the eatimafed covariance matrix a generalized leaat equarea estimator of the regreaaion parameter vector is then determined a t the aecond atage. Limitations of the procedure are also discussed.

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