formulate a comprehensive plan for data analysis, focusing on addressing public health issues. Utilize statistical analysis software such as SAS or other software for the data analysis. Apply statistical methods covered in the course, including simple and multiple linear regression, simple and multiple logistic regression, and survival analysis. Pay attention to potential interaction and confounding in statistical modeling. Students are expected to generate statistical tables and figures and provide summaries based on the results of the data analysis. The presentation structure should encompass information on the data source, an abstract, introduction, methods, statistical analysis, results, and a discussion covering practical applications and conclusions. Alternatively, you have the option to select a published paper related to public health issues that employs statistical analyis methods covered in this class. The chosen paper must have been published in 2019 or later. Structure your presentation around this paper, encompassing an abstract, introduction, methods, statistical analysis, results, discussion, and your independent