Minji Lee
Oral Paper Session 2-D
Paper 46: : Impact of exposure control on the efficiency and score precision of PROMIS® computer adaptive testing
Minji K. Lee is the assistant professor of Health Services Research at the Department of Quantitative Health Sciences at Mayo Clinic. Since 2016, Dr. Lee has contributed to methods research for the PROMIS, focusing on measurement science topics such as score crosswalks between PROMIS and measures like numerical rating scales and PRO-CTCAE. Her work also explored statistical approaches to reliable change, likely change, and meaningful change, with the goal of improving the interpretability and utility of patient-reported outcomes in clinical and research settings.
The recording of this presenter's talk (course) will be available on-demand at the conclusion of the conference.
Paper 46: : Impact of exposure control on the efficiency and score precision of PROMIS® computer adaptive testing
Minji K. Lee is the assistant professor of Health Services Research at the Department of Quantitative Health Sciences at Mayo Clinic. Since 2016, Dr. Lee has contributed to methods research for the PROMIS, focusing on measurement science topics such as score crosswalks between PROMIS and measures like numerical rating scales and PRO-CTCAE. Her work also explored statistical approaches to reliable change, likely change, and meaningful change, with the goal of improving the interpretability and utility of patient-reported outcomes in clinical and research settings.
The recording of this presenter's talk (course) will be available on-demand at the conclusion of the conference.
Courses for this Presenter
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Oral Paper Session 2-D: Methodology
- Presenter(s): Jin-Shei Lai; Michiel Luijten; Anne Westerweel; Minji Lee; Istvan Mucsi
- Session#: PHO2501-108
- Session Length: 45 minutes
- Program: The 11th Annual PROMIS International Conference
- Date: Oct 27, 2025