Univariate and Multivariate Methods for the Analysis of Repeated Measures Data - Tony Wragg - Books - Grin Verlag - 9783640827190 - March 4, 2011
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Univariate and Multivariate Methods for the Analysis of Repeated Measures Data

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Thesis (M. A.) from the year 1999 in the subject Statistics, grade: Passed, RMIT, course: MAppSc, language: English, comment: This thesis considers both univariate and multivariate approaches to the analysis of a set of repeated-measures data. Since repeated measures on the same subject are correlated over time, the usual analysis of variance assumption of independence is often violated. The models in this thesis demonstrate different approaches to the analysis of repeated-measures data, and highlight their advantages and disadvantages. , abstract: This thesis considers both univariate and multivariate approaches to the analysis of a set of repeated-measures data. Since repeated measures on the same subject are correlated over time, the usual analysis of variance assumption of independence is often violated. The models in this thesis demonstrate different approaches to the analysis of repeated-measures data, and highlight their advantages and disadvantages. Milk from two groups of lactating cows, one group vaccinated, the other not, was analysed every month after calving for eight months in order to measure the amount of bacteria in the milk. The primary goal of the experiment was to determine if a vaccine developed by the Royal Melbourne Institute of Technology's Biology Department led to a significant decrease in mean bacteria production per litre of milk produced compared to the control group. A univariate model suitable for repeated measures data was initially tried, with mean bacteria production in the treatment group not significantly different from the control group (p < 0.68). The multivariate approach to repeated measures, profile analysis, yielded similar results for treatment effects (p < 0.68), while meeting the necessary assumptions for multivariate analysis. Finally, a generalised multivariate analysis of variance was carried out in order to fit polynomial growth curves for both the control and the vaccinated groups and to test if the


72 pages

Media Books     Paperback Book   (Book with soft cover and glued back)
Released March 4, 2011
ISBN13 9783640827190
Publishers Grin Verlag
Pages 72
Dimensions 148 × 210 × 4 mm   ·   112 g
Language German  

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