Fitting growth curve models to longitudinal data with missing observations.

W. D. Johnson, Varghese George, A. Shahane, G. J. Fuchs

Research output: Contribution to journalArticle

6 Citations (Scopus)

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.

Original languageEnglish (US)
Pages (from-to)243-253
Number of pages11
JournalHuman Biology
Volume64
Issue number2
StatePublished - Apr 1 1992
Externally publishedYes

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growth curve
Growth
methodology
analysis

ASJC Scopus subject areas

  • Ecology, Evolution, Behavior and Systematics
  • Genetics
  • Genetics(clinical)

Cite this

Johnson, W. D., George, V., Shahane, A., & Fuchs, G. J. (1992). Fitting growth curve models to longitudinal data with missing observations. Human Biology, 64(2), 243-253.

Fitting growth curve models to longitudinal data with missing observations. / Johnson, W. D.; George, Varghese; Shahane, A.; Fuchs, G. J.

In: Human Biology, Vol. 64, No. 2, 01.04.1992, p. 243-253.

Research output: Contribution to journalArticle

Johnson, WD, George, V, Shahane, A & Fuchs, GJ 1992, 'Fitting growth curve models to longitudinal data with missing observations.', Human Biology, vol. 64, no. 2, pp. 243-253.
Johnson, W. D. ; George, Varghese ; Shahane, A. ; Fuchs, G. J. / Fitting growth curve models to longitudinal data with missing observations. In: Human Biology. 1992 ; Vol. 64, No. 2. pp. 243-253.
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