Fitting growth curve models to longitudinal data with missing observations.

W. D. Johnson, V. T. George, A. Shahane, G. J. Fuchs

Research output: Contribution to journalArticlepeer-review

6 Scopus citations


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; an international record of research
Issue number2
StatePublished - Apr 1992
Externally publishedYes

ASJC Scopus subject areas

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


Dive into the research topics of 'Fitting growth curve models to longitudinal data with missing observations.'. Together they form a unique fingerprint.

Cite this