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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 models in this thesis demonstrate different approaches to the analysis of repeated-measures data, and highlight their advantages and disadvantages. whether multiple regression is a univariate or multivariate technique, it is. Since repeated measures on the same subject are correlated over time, the usual analysis of variance assumption of independence is often violated. otherwise traditional methods of statistical analysis, the increased speed. As the name suggests, Uni, meaning one, in univariate analysis, there is only one. 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. Univariate analysis is the easiest methods of quantitative data analysis. Since repeated measures on the same subject are correlated over time, the usual analysis of variance assumption of independence is often violated. Based on published statistical algorithms and techniques, muma provides user-friendly tools for the whole process of data analysis, ranging from data imputation. This is because multivariate models can often miss/mask significant variables as all metabolites (and metabolite relationships) are simultaneously examined.
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A variable may be insignificant in a multivariate model, but significant in a univariate context. 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. Univariate data analysis is crucial in any metabolomics data analysis strategy. Multivariate analysis methods are used in the evaluation and collection of statistical data to clarify and explain relationships between different variables. Univariate and Multivariate Methods for the Analysis of Repeated Measures Data Author