1985
DOI: 10.2307/2530875
|View full text |Cite
|
Sign up to set email alerts
|

Analysis of Incomplete Multivariate Data from Repeated Measurement Experiments

Abstract: This paper analyses two sets of data that consist of repeated measurements with missing data. The missing observations always occur at the end of the series of repeated measurements. The score test for multivariate normal data is used to compare treatment groups; if the original data are not multivariate normal they are replaced by expected normal scores.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

1
11
0

Year Published

1989
1989
2014
2014

Publication Types

Select...
5
5

Relationship

0
10

Authors

Journals

citations
Cited by 31 publications
(12 citation statements)
references
References 13 publications
1
11
0
Order By: Relevance
“…Cytokine concentrations of the various diet groups were compared using the multivariate rank test according to Koziol et al [23] and Crepeau et al [24]. This is a nonparametric test for the comparison of growth curves, which accounts for missing data at certain time points.…”
Section: Discussionmentioning
confidence: 99%
“…Cytokine concentrations of the various diet groups were compared using the multivariate rank test according to Koziol et al [23] and Crepeau et al [24]. This is a nonparametric test for the comparison of growth curves, which accounts for missing data at certain time points.…”
Section: Discussionmentioning
confidence: 99%
“…We will now consider a relatively small example with a continuous response, analyzed in Crépeau, Koziol, Reid and Yuh (1985). Fifty-four rats were divided into five treatment groups corresponding to exposure to increasing doses of halothane (0%, 0.25%, 0.5%, 1% and 2%).…”
Section: Examplesmentioning
confidence: 99%
“…When feasible, experimental protocols that assay the response to the levels of the stimulus in random order are to be preferred. Second, the analysis of response curve data will be immensely more complicated if the data are either unbalanced or incomplete (Crepeau et al 1985, Jennrich and Schluchter 1986, Davis and Wei 1988. In physiological ecology, imbalance is most likely to occur as uneven numbers of replicates within the experimental groups.…”
Section: Discussionmentioning
confidence: 99%