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Ovenriew Now that you have submitted your article review, you will submit Your Final Project Data Analysis. The Final Project Article Review was an opportunity

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Ovenriew Now that you have submitted your article review, you will submit Your Final Project Data Analysis. The Final Project Article Review was an opportunity to demonstrate your ability to interpret statistics included in an article. The Final Project Data Analysis is a chance to show that you know how to choose the correct statistics to analyze a set of data and calculate these using software. Regardless of their field of interest, health professionals across disciplines need to be able to run basic biostatistical calculations to describe a set of data. The Final Project Data Analysis reinforces these critical skills by asking you to conduct your own analysis of a small data set, explain the basic parameters of the data. graph it, and run simple tests. You will present this data analysis in a brief statistical report, using language appropriate to a non-technical audience. The Final Project Data Analysis consists of four milestones, submitted in Modules Two, Three, Five, and Seven. The nal submission occurs in Module Nine. In this assignment, you will demonstrate your mastery of the following course outcomes: II Perfonn basic. context-appropriate statistical calculations and hypothesis testing in accurately analyzing biostatistical data a Interpret key biostatistical metrics, methods, and data for addressing population-based health problems a Communicate biostatistical results, procedures, and analysis to other health professionals and the general public for informing their decisions related to population-based health problems Prompt Biostatisticians are constantly called upon to analyze data in order to help researchers and health officials answer critical questions about populations' health. For this assessmentr you will imagine you are a biostatistical consultant on a small study for a local health organization. In the Assignments Guidelines and Rubn'cs area of the course, you will use the Data Analysis Data Set and Data Analysis Data Descriptionr along with some background information on how and when the data was collected and the general research question the organization is interested in answering. This is often the way you will receive data in the real world. Your task is to help the organization answer their question by critically analyzing the data. You will compute your chosen statistics, interpret the results. and present the results and recommendations to non-technical decision makers in the form of a data analysis. Keep in mind that it is your job to do this from a statistical standpoint. Be sure to justify your conclusions and recommendations with appropriate statistical support. Specifically, you must address the critical elements listed below. Most of the critical elements align with a particular course outcome (shown in brackets). I. Introduction A. State the overall health question you have been asked to address in your own words. Be sure you capture the key elements of the question, using language that a non-technical audience can understand. B. Assess the collected data. Use this section to layout the source, parameters, and any limitations of your data. Specifically, you should: 1. Describe the key features of your data set. Be sure to assess how these features affect your analysis. 2. Analyze the limitations of the data set you were provided and how those limitations might affect your findings. Justify your response. C. Process: Propose how you will go about answering the health question you were asked to address based on the data set provided. Il. Data Analysis A. Graphs: In this section, you will use graphical displays to examine the data. 1. Create at least one graph that gives a sense of the potential relationship between the two variables that form your chosen health question. Include the graph and discuss why you selected it as opposed to others. B. Conduct an appropriate statistical test to answer your health question. C. Explain why this test is the best choice in this context. D. Analysis of Biostatistics: Use this section to describe your findings from a statistical standpoint. Be sure to: 1. Present key biostatistics from the graph(s) and statistical tests and explain what they mean. Be sure to include a spreadsheet showing your work or a copy of your StatCrunch output as an appendix. 2. What statistical inferences or conclusions can you draw based on the results of your statistical test and graph? Justify your response. Ill. Conclusions and Recommendations A. How do the findings help answer your overall health question? Remember to use brief, non-technical language to ensure audience understanding. B. Recommend areas for further research based on your findings. Remember to use brief, non-technical language to ensure audience understanding.Milestones Milestone One: Select Health Question In Module Two, you will identify the health question you will be researching for instructor feedback and approval. Milestone One should be several sentences in length. This milestone is graded with the Milestone One Rubric. Milestone Two: Describe the Data In Module Three, you will describe the key features of the data set, including limitations that might exist. Milestone Two should be one or two paragraphs in length. This milestone is graded with the Milestone Two Rubric. Milestone Three: Process and Calculations In Module Five, you will create a table in which you propose the calculations (descriptive statistics and statistical test) and graph(s) you will need to perform to answer the health question you are investigating. Then you will complete the table. For Milestone Three, you will submit this completed table. This milestone is graded with the Milestone Three Rubric. Milestone Four: Data Analysis In Module Seven, you will submit the data analysis section of Final Project Data Analysis. This section includes the graph(s) and statistics you conducted on the data set to answer the health question. This milestone is graded with the Milestone Four Rubric. Final Project Data Analysis In Module Nine, complete the conclusions section and the rest of the completed data analysis (including graph(s), statistical output for chosen test, or Excel spreadsheet with calculations). You have been working on this analysis in Milestones One through Four. Before submitting, revise each section of the analysis based on the feedback you received from your instructor and peers. It should be a complete, polished artifact containing all of the critical elements of the final product. It should reflect the incorporation of feedback gained throughout the course. This submission will be graded using the Final Project Data Analysis Rubric.be the lone factor that could be the lone factor that could influence the outcomes. influence the outcomes. Limitations Small sample size Small sample size Sample came from one data Sample came from one data location location Similarities Small sample size Small sample size Questioning Standard Questioning Standard Practice Practice Differences Effects of ambulation on Effects of changing body outcomes position on outcomesMethods Article 1 Article 2 Title The effect of ambulation after Evaluation of feasibility and cardiac catheterization on safety of changing body patient outcomes position after transfemoral angiography: a randomized clinical trial Authors Chair, S.Y., Thompson, D.R. Valice, S., Fathi, M., Li, S.K. Hadizade, N., Roshani, D., Mahmoodi, P. Publication Journal of Clinical Nursing Journal of Vascular Nursing 212-214 106-114 2007 2016 Purpose Determine if vascular Determine what effects body complications or benefits position or change of position would increase with earlier has on bleeding and clotting ambulation after cardiac with patients post angioplasty catheterization Design Randomized single-blinded Blinded or unblinded control randomized controlled, and quasi-randomized controlled Specific statistical tests used Independent t-test Dichotomous outcomes as Multiple logistic regression odd ratios with 95% Chi-square confidence interval and Estimation equation model continuous outcomes as mean difference with 95% confidence interval Measuring Outcomes Anxiety score (well-being) Incidence of bleeding at Vitality score (well-being) femoral puncture site Pain score (back pain) Increase of bruising and Discomfort (urinary) clotting Strengths Utilizing the same Utilizing the same environment, the same care, environment, the same care, from the same allows having from the same allows having only the patients themselves only the patients themselves

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