PC program extending the Potthoff-Roy longitudinal data analysis model to allow missing data: Kleinbaum's method.
Potthoff and Roy (Biometrika, 51 (1964) 313-326) generalized the multivariate analysis of variance model into a form that is especially useful for the study of longitudinal growth curve data. Applications of this method have, however, been limited by the requirement that each case in the sample be measured at the same set of time points, i.e. there can be no missing data. In this paper we describe, illustrate, and make available a user-friendly, interactive PC program implementing Kleinbaum's (J Mult Anal, 3 (1973) 117-124) extension of the Potthoff-Roy model to allow incomplete measurement sequences. These missing data are permitted to arise either randomly or by design as in mixed longitudinal studies.
Guo
I Y
IY
Department of Public Health Sciences, Baylor College of Dentistry, Dallas, TX 75266-0677, USA.
Schneiderman
E D
ED
Kowalski
C J
CJ
Willis
S M
SM
D000704:Analysis of Variance; D000818:Animals; D003627:Data Interpretation, Statistical; D000882:Haplorhini; D008137:Longitudinal Studies; D008334:Mandible / Q000254:growth & development; D008432:Mathematical Computing; D008838:Microcomputers; D015999:Multivariate Analysis; D012984:Software; D014584:User-Computer Interface