Pharmacoeconomic Assignment
Budget: $10 – $30 USD
I need support finishing a university pharmacoeconomics assignment that centres on cost-utility analysis. The brief is issued by UPF, but the task itself is self-contained: build a clear cost-utility model, populate it with credible data, and interpret the incremental cost-utility ratio in a concise report. There is no predefined drug or therapeutic area, so you’re free to suggest a clinically relevant example that has enough published inputs to make the modelling robust.
What I will provide:
• The grading rubric and any formatting rules required by the course.
• A template for the written submission.
What I expect from you:
• A transparent model in Excel, R, TreeAge or a similarly accepted tool, with formulas fully traceable.
• A short write-up (≈2,000 words) explaining methods, data sources, base-case results and one-way as well as probabilistic sensitivity analyses.
• Properly referenced data (peer-reviewed literature or reputable databases).
• Clear recommendations based on the ICUR, plus discussion of limitations.
Acceptance criteria
1. The model runs error-free and replicates the results shown in the write-up.
2. All inputs are referenced and plausible; no undisclosed assumptions.
3. Submission adheres to the rubric and is delivered before the agreed deadline.
If you have published CUA work or have tackled similar coursework, please mention it so I can gauge fit quickly.
What I will provide:
• The grading rubric and any formatting rules required by the course.
• A template for the written submission.
What I expect from you:
• A transparent model in Excel, R, TreeAge or a similarly accepted tool, with formulas fully traceable.
• A short write-up (≈2,000 words) explaining methods, data sources, base-case results and one-way as well as probabilistic sensitivity analyses.
• Properly referenced data (peer-reviewed literature or reputable databases).
• Clear recommendations based on the ICUR, plus discussion of limitations.
Acceptance criteria
1. The model runs error-free and replicates the results shown in the write-up.
2. All inputs are referenced and plausible; no undisclosed assumptions.
3. Submission adheres to the rubric and is delivered before the agreed deadline.
If you have published CUA work or have tackled similar coursework, please mention it so I can gauge fit quickly.