title: PC program extending the two-stage polynomial growth curve model to allow missing data.
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.
authors.affiliation: Department of Biostatistics, University of Michigan, Ann Arbor 48109.
authors.forename: A M
authors.initials: AM
authors.lastname: Furey
authors.forename: T R
authors.initials: TR
authors.lastname: Ten Have
authors.forename: C J
authors.initials: CJ
authors.lastname: Kowalski
authors.forename: E D
authors.initials: ED
authors.lastname: Schneiderman
authors.forename: S M
authors.initials: SM
authors.lastname: Willis
mesh_terms: D000818:Animals; D016001:Confidence Intervals; D006128:Growth / Q000502:physiology*; D008253:Macaca mulatta; D008297:Male; D008334:Mandible / Q000033:anatomy & histology / Q000254:growth & development; D008838:Microcomputers; D008954:Models, Biological; D015233:Models, Statistical; D012044:Regression Analysis; D012984:Software