Choosing and Interpreting PROs and COAs – A Guide for Clinical Trial Statisticians
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Why You Should Listen
** **If you work in clinical trials or healthcare analytics, this episode will help you: **
- Understand why patient perspectives are now central—not optional
- Learn the difference between PROs and COAs, and when each matters
- See how questionnaires are scientifically developed and validated
- Improve how you select, analyze, and interpret endpoints
- Avoid common pitfalls when using patient-reported data
Episode Highlights
- 00:00 – Introduction and background to the episode
- 01:31 – Rachael’s journey into patient-centered outcomes
- 03:24 – Why PROs have become central to drug development
- 05:18 – What COAs are and how they extend beyond PROs
- 05:46 – The four types of COAs explained
- 08:58 – Generic vs disease-specific questionnaires
- 13:16 – How PRO instruments are developed and validated
- 15:06 – What “meaningful change” really means
- 17:02 – Using Phase II data to inform Phase III endpoints
- 18:24 – FDA expectations and guidance on PROs
- 21:47 – Using the estimand framework for patient-centered endpoints
- 23:15 – What “psychometrically sound” actually means
- 31:16 – How I would choose the right PRO or COA for a trial
- 34:01 – Avoiding missing data and reducing patient burden
- 37:18 – Key takeaways on interpreting patient-reported data
About the Guest
Rachael Lawrance Senior Director & Functional Lead Statistics, Patient-Centered Outcomes (PCO), Adelphi Values
Rachael is a highly experienced statistician specializing in patient-centered outcomes. She works across the full lifecycle of PRO development—from qualitative research and questionnaire design to statistical validation and interpretation.
With a background in pharma and consultancy, she focuses on bridging the gap between rigorous statistical methodology and meaningful patient insights.
🔗 Links & References
- Adelphi Values
- The Effective Statistician
- PSI Conference 2026
- FDA Patient-Focused Drug Development (PFDD) Guidance Series
- PRO Consortium (PRO-C) resources
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