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Titlebook: Analyzing Medical Data Using S-PLUS; Brian Everitt,Sophia Rabe-Hesketh Book 2001 Springer Science+Business Media New York 2001 Analysis of

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Describing Data,e data in some way. Which graphs and which summary statistics are most appropriate will largely depend on the type of observations and measurements that have been recorded. In this chapter, we shall illustrate the possibilities using a number of data sets containing continuous or categorical variables.
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The Analysis of Longitudinal Data,or example, are of this format. The characteristic feature of such studies is that multiple measurements of a response variable are obtained at a set of time points for each participant in the study. There are two main difficulties in the analysis of data from such longitudinal studies:
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978-1-4419-3176-4Springer Science+Business Media New York 2001
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https://doi.org/10.1007/978-3-658-21893-5f statistical material. And this has been true for at least the last 20 or 30 years. The majority of clinicians now accept that the key to progress in medicine is the collection and valid interpretation of evidence, particularly quantitative evidence in the form of numerical observations and measure
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