Question: Please use R programming language only, and do not use Python. Please review the flow and organizations, and make the necessary changes where exactly as

Please use R programming language only, and do not use Python.

Please review the flow and organizations, and make the necessary changes where exactly as you want to see some changes so I can make the comparison with my original before implementing feedback on changes, as I am making progress on this capstone project.Keep my original formatting so that it remains easier for me to make adjustments and not to start over every time, it is time-consuming. Thanks. Please, always add and remove things that are incoherent with the project. Also, make sure that part 8, which is component 2, is done per the instructions. I'm a little confused about what exactly is required there. Attached are the instructions and my graphs.

Please note that the graphs are separate in my original document, but you can follow along based on their descriptions. My Assignment Objectives are

to ensure that I can effectively :

  1. Analyze client data to identify appropriate statistical methods, ensuring data readiness and addressing potential issues.
  2. Design a professional client-facing report, incorporating clear visualizations, key findings, and actionable recommendations.
  3. Communicate statistical analyses effectively through both written and oral presentations, tailored to a non-technical audience.
  4. Demonstrate professional collaboration skills by navigating client interactions, setting expectations, and translating subject matter questions into statistical terms.

DirectionsComponent 1: Consultant's Approach and Internal Report

This component focuses on documenting your process as a consultant assigned a new task. Your submission should include:

1. Approach and Methodology:

  • Describe your process for meeting a new client, understanding their needs, and gathering relevant data.
  • Explain how you determine the correct analysis to perform and identify any potential issues in the data.
  • Outline how you address these issues and ensure the data is ready for analysis.

2. Final Internal Report:

  • This should be a brief but comprehensive report summarizing your contribution. It is intended for your manager, not the client.
  • Include an overview of your analysis, any challenges faced, how you resolved them, and key findings
  • Suggestions: Anything else you believe is relevant to your process can also be included.

3. Author's Note

  • An Author's Note is a brief reflective section where you explain how your internal report for the manager evolved into your final client-facing report in Components 2 and 3. It demonstrates your ability to revise based on audience needs and project goals.
  • Focus your Author's Note on specific revisions you made during the final phase of the project. Use the bullet points below to guide your response
    • Refined Focus: Describe how you narrowed or shifted the report's emphasis to prioritize insights and recommendations most relevant to the client's needs.
    • Simplified Communication: Explain how you revised complex statistical language or eliminated unnecessary technical detail to make the findings more accessible.
    • Visual Improvements: Identify how charts, graphs, or other visuals were redesigned or added to improve clarity and impact.

Please provide some assistance here ****: ****This Author's Note should appear at the end of Component 1 to reflect how your initial consulting work informed and was refined into the final deliverables.****

4. Appendix

  • If you used software (e.g., SAS, R, Python), include the code in the Appendix.
  • Ensure that the code is well-commented and organized to make it easy to follow.

Component 2: Consulting Project

Put together a client-facing report based on my consulting project. This document should:

  • Be professional, concise, and client-focused.
  • Include key findings, insights, and recommendations.
  • Use clear visualizations (e.g., graphs, charts) to present the results in an accessible way.

Sturdy estimates by exposure Type Sturdy estimates by exposure Type biomarker prescription/sibling Ji et al. (high) Study Study Ahlqvist et al. (JAMA 2024, sibling) Ji et al. (mid) 2.5 5.0 7.5 0.925 0.950 0.975 1.000 1.025 1.050 Odds Ratio (95% CI) Odds Ratio (95% CI) Sturdy estimates by exposure Type Combined Forest Plot: Subgroup Pooled Estimates self-report Self-report Liew et al. (Danish 2016) Exposure Type Prescription/Sibling Study Masarwa et al. (AJE 2018) Biomarker 1.25 1.50 1.75 2 3 4 5 Odds Ratio (95% CI) Odds Ratio

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