Background: A test protocol is created when individual tests are combined. Even with a few tests, many different protocols are possible. Often, the clinician must select a protocol without information as to the performance of the possible protocols. A model to predict protocol performance could help in this selection process.
Purpose: To evaluate the validity and accuracy of a mathematical model for predicting protocol performance.
Research Design: Predictions of the model are compared to actual data on protocol performance.
Results: With complete information, there was almost perfect agreement between predicted and actual data. With partial information, the model still made very accurate estimates of protocol performance.
Conclusions: Even with incomplete information, which is frequently the case in a clinical situation, the model can eliminate many protocols from consideration and aid in the selection of an appropriate protocol.
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