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PC program extending the two-stage polynomial growth curve model to allow missing data
A M Furey1, T R Ten Have, C J Kowalski
1Department of Biostatistics, University of Michigan, Ann Arbor 48109.
International Journal of Bio-Medical Computing
|November 1, 1993
Abstract:
A stand-alone, menu-driven PC program, written in GAUSS386i, extending the analysis of one-sample longitudinal data sets satisfying the two-stage polynomial growth curve model (Ten Have et al., Am J Hum Biol, 3 (1991) 269-279) to allow missing data is described, illustrated and made available to interested readers. The method and the program are illustrated using data previously analyzed by the authors (Schneiderman and Kowalski, Am J Phys Anthropol, 67 (1985) 323-333) but with several randomly chosen data points discarded and treated as missing.