Testing Hypotheses for the Growth Curve Model when the Data are Incomplete

James D. Leeper, Robert F. Woolson

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

Abstract

Kleinbaum (1973) developed a generalized growth curve model for analyzing incomplete longitudinal data. In this paper the small sample properties of several related test statistics are investigated via Monte Carlo techniques. The covariance matrix is estimated by each of three non-iterative methods. The null and non-null distributions of these test statistics are examined.

Original languageEnglish
Pages (from-to)97-107
Number of pages11
JournalJournal of Statistical Computation and Simulation
Volume15
Issue number2-3
DOIs
StatePublished - Aug 1982

Keywords

  • Growth curve analysis
  • Wald statistics
  • incomplete data

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