PC program extending the two-stage polynomial growth curve model to allow missing data. Academic Article

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

• Schneiderman, Emet

published proceedings

• Int J Biomed Comput

author list (cited authors)

• Furey, A. M., Ten Have, T. R., Kowalski, C. J., Schneiderman, E. D., & Willis, S. M.

citation count

• 2

complete list of authors

• Furey, AM||Ten Have, TR||Kowalski, CJ||Schneiderman, ED||Willis, SM

publication date

• January 1993

publisher

• Elsevier  Publisher

published in

• International journal of bio-medical computing  Journal

keywords

• Animals
• Confidence Intervals
• Growth
• Macaca Mulatta
• Male
• Mandible
• Microcomputers
• Models, Biological
• Models, Statistical
• Regression Analysis
• Software

Digital Object Identifier (DOI)

• 10.1016/0020-7101(93)90042-5

start page

• 287

end page

• 296

volume

• 33

issue

• 3-4

URL

• http://dx.doi.org/10.1016/0020-7101(93)90042-5