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Explore key concepts in Health Economics and Technology Assessment, focusing on economic evaluation, health measurements, and decision modeling for reimbursement decisions.
Explore data science principles for efficient clinical reporting, focusing on transparency, DevOps practices, version control, code reusability, and risk management in clinical trials.
Explore patient-centered outcomes research in pharma, covering clinical outcome assessments and patient experience data. Learn selection, development, validation, and interpretation of these crucial tools in drug development.
Explore open-source R packages for clinical data reporting, covering the flow from raw data to final outputs. Learn SDTM, ADaM, and tools for generating regulatory-compliant tables, listings, and graphs.
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