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A guide to the analysis of growth curve data with special reference to SAS

✍ Scribed by O.Brian Allen

Publisher
Elsevier Science
Year
1983
Tongue
English
Weight
936 KB
Volume
16
Category
Article
ISSN
0010-4809

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✦ Synopsis

The analysis of data variously termed growth curve data, repeated measurements data, or profile data is discussed. Typically, one has measurements taken at several points in time for each experimental unit. Usually there are also treatments randomized to these experimental units according to a suitably chosen design. The conditions under which the "split-plot-intime" analysis is valid are given and the Geisser-Greenhouse approximation is discussed when it is not valid. Often, however, a low degree polynomial can be fitted to the profile of measurements for each experimental unit, thereby reducing the dimension of the profile considerably. An exact multivariate analysis can then be performed on the regression coefficients. This removes many of the objections usually raised against multivariate techniques. All of this is easily implemented on the statistical analysis system (SAS) and sample programs are given.

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## Abstract In this paper techniques are presented which allow the evaluation of accuracy of prediction methods, with special reference to the prediction of grassland yield. The more prominent methods of predicting grassland yield are discussed. Two coefficients, which are normalizations of the mea