A PC program for growth prediction in the context of Rao's polynomial growth curve model

✍ Scribed by Emet D. Schneiderman; Stephen M. Willis; Charles J. Kowalski; Thomas R. Ten Have

• Publisher: Elsevier Science
• Year: 1992
• Tongue: English
• Weight: 674 KB
• Volume: 22
• Category: Article
• ISSN: 0010-4825
• DOI: 10.1016/0010-4825(92)90014-e

✦ Synopsis

We consider the problem of growth prediction in the context of Rao's [l] one-sample polynomial growth curve model and provide a PC program, written in GAUSS, to perform the associated computations. Specifically, the problem considered is that of estimating the value of the measurement under consideration for a "new" individual at the Tth time point given measurements on that individual at T-1 previous points in time and the values of the measurement on N "similar" individuals at al1 T time points. The times of measurement t, , fz, . , tT need not be equally spaced, but we assume that each of the N individuals comprising the normative sample were measured at these times. The method and the program are illustrated using the leave-one-out method on a sample of N = 12 male rhesus monkeys whose mandibular ramus height was measured five times at yearly intervals.

Longitudinal studies PC program

Growth curves

Polynomials Prediction