Jm. Grender et Wd. Johnson, FITTING MULTIVARIATE POLYNOMIAL-GROWTH CURVES IN 2-PERIOD CROSSOVER DESIGNS, Statistics in medicine, 13(9), 1994, pp. 931-943
Citations number
19
Categorie Soggetti
Statistic & Probability","Medicine, Research & Experimental","Public, Environmental & Occupation Heath","Statistic & Probability
We discuss the statistical analysis of data from two clinical trials u
sing crossover designs. In both studies, response was observed repeate
dly over time in each treatment period. The first study involves repea
ted measurements of a single response variable whereas the second invo
lves bivariate response. Methods are described for fitting polynomial
growth curves to achieve data reduction in a two-stage approach to the
analysis of crossover designs. Thus, a multivariate parametric analys
is frequently can be conducted even when the sample sizes are somewhat
small as is the case in many crossover designs. Hypotheses that are u
sually of interest in crossover designs can be tested in the second st
age of the analysis. Methods for testing the multivariate general line
ar hypothesis as a basis for statistical inference in such problems ar
e discussed.