In the context of the material covered by Chapter 15, what remedies might be suggested for any problems?

Prerequisites Follow instructions in How to start working with RStudio Projects to launch the RStudio Project for the course. Introduction to Case Study 2This exercise follows follows the scenario described in the case study of Chapter 15, p. 326 in the “Quality and Performance Improvement in Healthcare: Theory, Practice, and Management” textbook by P.Shaw and D.Carter, 7th ed. Objectives:Using the starter “./analysis/case-study-3/cs-3-empty.Rmd” create a report that:1. Replicates data transformations during preparing data for analysis (as shown in the video)2. Replicates analytic code that produces basic analysis of the data (as shown in the video)3. Identifies and interprets the patterns found in the data, address the research question and suggest potential remediesOverall Question to AddressWhat changes or patterns do you see in the data? In the context of the material covered by Chapter 15, what remedies might be suggested for any problems?Instructions1. Read the entire assignment in this tab 2. Launch RStudio Project for the course on your machine3. From RStudio open the file “./analysis/case-study-3/cs-3-empty.Rmd”4. Save file as a new file in the same location, replacing “empty” in the name of the file with your last name (one word, all lower-case characters)5. Replace the author’s name in the YAML header to your own. 6. Complete every TODO tasks provided in the .Rmd document. The starting Excel file is located in “./data-unshared/raw/case-study-3.raw.xlsx”. The file ready for analysis is “case-study-3.xlsx”. Follow this video to replicate the code:7. Some TODO tasks ask you to write a short paragraph describing the conclusions supported by evidence in the data. 8. Knit the dynamic report into an HTML document9. Knit the dynamic report into a DOCX document10. Submit HTML, DOCX (or PDF), and RMDNotesThe video in Step 6 captures a live session during a previous administration of this course to make you aware of the real process of code development, with all of its mistakes, discussions, loading time, errors, and typos. It demonstrates implementing the analysis inside an .R script. For your assignment, however, you are asked to transfer the code described into the respective code chunks of the .Rmd script, the template for which is provided in `./analysis/case-study-3/cs-3-empty.Rmd”. In the first 18 minutes of the video, the process of creating a new project is described in order to make you aware of the process; however, do not replicate for Case Study 2. For every assignment in this course that involves R, you must use the HIM6464C-21F project. DO NOT CREATE A NEW PROJECT FOR THIS ASSIGNMENT, use HIM6464C-20F.Rproj.Tech SupportPlease post any technical issues on the Module 4 Discussion forum, and check there for answers first if you experience any technical difficulties.Writing GuidelinesWrite your conclusion in a professional tone suitable for a formal report disseminated to executives in an organization or a peer-reviewed journal article. You should use proper grammar and use the third person tense. You should also refer to all tables and/or graphs in your narrative. Bonus QuestionsStudy Table 4 on p. 41 of the Oleske text “Epidemiology and the Delivery of Health Care Services,” 3rd edition. You can also use outside resources to answer these questions, but cite your source(s) if you do. Each question is worth 0.33 bonus points.What is the relationship between sensitivity and positive predictive value?What happens to the sensitivity of a test as the prevalence of the disease increases in the population? What happens to the positive predictive value?Why would this factor into a management decision on which screening tests to implement in a facility?

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