Statistical Methods for Life and Health Sciences
- (Project_4_1) In this project I want us to to use one or several of the techniques we have learned in Stat 251 / OBEE 216 this quarter for statistically analyzing some data directly related to your individual's field of study. This may involve completing an interesting regression/correlation analysis, confidence intervals, ANOVA, PCA, various hypothesis tests. Your project should be data driven, with your main hypothesis clearly stated prior to, and directly relevant to, the data being analyzed. You'll be mainly evaluated on 3 points: relevance/clarity, methodology and presentation. Each project should be organized, and presented, in the following scheme: Introduction/Abstract/Summary, Background, Problem and Hypotheses, Methods & Design, Results, Significance/Discussion/Conclusions, References. In case, you do not have an interesting data set, or if you are not far along your graduate program, please use the Human Development Report data set (2001) to complete the project. Indeed, there are a large number of exciting research hypothesis one can test using this powerful database. Here is a direct link to the United Nations Development Programme.
Note: Every one needs to let me know what media they plan to use for their presentations on Wed., Mar. 19-th, 2003. I would prefer if everybody uses PowerPoint, and I need to have your files the day before the presentations. You may choose to use other interactive tools, however, like web-browsers, GIMP, MS WORD, PostScript, RTF formats or use transparency or the blackboard. Please prepare a couple of pages of handouts for the audience (~15 people). This will be an informal session of talks don't stress out much, but do pick an interesting project and try to get the audience interested in it, too.
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Ivo D. Dinov, Ph.D., Departments of Statistics and Neurology, UCLA School of Medicine