Fitting growth curve models to longitudinal data with missing observations.

W D Johnson; V T George; A Shahane; G J Fuchs

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PubMed · 1559693

Fitting growth curve models to longitudinal data with missing observations.

W D Johnson·V T George·A Shahane·G J Fuchs

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Abstract

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.

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Cephalometry Child Data Collection Female Growth Humans Least-Squares Analysis Likelihood Functions Linear Models Longitudinal Studies Male Maxillofacial Development Protein-Energy Malnutrition Journal Article

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W D Johnson, V T George, A Shahane, G J Fuchs. 1992. Fitting growth curve models to longitudinal data with missing observations.. https://pubmed.ncbi.nlm.nih.gov/1559693/

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