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Activity Number:
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16
- Assessing Agreement and Reader Reliability in Medical Imaging Analysis
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Type:
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Topic Contributed
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Date/Time:
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Sunday, August 7, 2022 : 2:00 PM to 3:50 PM
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Sponsor:
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Biopharmaceutical Section
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Abstract #322934
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Title:
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Sample Size Estimation for Overall Agreement for Multiple Raters with Replicated Measurements
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Author(s):
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Tongrong Wang* and Huiman Barnhart
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Companies:
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Eli Lilly and Company and Duke University
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Keywords:
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Multiple raters;
Agreement;
Interchangeability;
Sample Size;
Replicated Measurements
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Abstract:
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In various medical settings, new raters are available to take measurements to evaluate medical conditions. One may want to use new and existing raters simultaneously or replace the existing raters with the new one due to low-cost or portability. For both situations, the raters should be interchangeable, such that it makes no clinical difference in which raters measure the subject in the population of interest. This is a problem of claiming sufficient agreement among the raters. We proposed a set of formulas to compute sample size to achieve desired power for claiming sufficient agreement in an agreement study design based on various recently proposed overall agreement indexes. Simulation studies are conducted to evaluate type I error and power for different sample sizes and numbers of replications. A blood pressure example is used for illustration.
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Authors who are presenting talks have a * after their name.
