Evaluating Risk Prediction with Data Collection Costs: Novel Estimation of Test Tradeoff Curves.

ABSTRACT:

Background

The test tradeoff curve helps investigators decide if collecting data for risk prediction is worthwhile when risk prediction is used for treatment decisions. At a given benefit-cost ratio (the number of false-positive predictions one would trade for a true positive prediction) or risk threshold (the probability of developing disease at indifference between treatment and no treatment), the test tradeoff is the minimum number of data collections per true positive to yield a positive maximum expected utility of risk prediction. For example, a test tradeoff of 3,000 invasive tests per true-positive prediction of cancer may suggest that risk prediction is not worthwhile. A test tradeoff curve plots test tradeoff versus benefit-cost ratio or risk threshold. The test tradeoff c

SUBMITTER: Baker SG 

PROVIDER: S-EPMC10763200 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature