| 摘要 |
<p>Methods for constructing multivariate predictive models for diagnosing diseases for which test methods are individually inadequate, including: (a) performing laboratory tests (b) generating a score function (c) performing a receiver operating characteristic (ROC) (d) calculating individual pre-test disease odds; generating a diagnostic likelihood ratio of disease and multiplying pre-test odds by the likelihood ratio to determine individual post- test disease odds; (e) converting a set of posttest odds into posttest probabilities for each potential multivariate methodology and creating an ROC curve for each methodology by altering posttest probability cutoff values; (f) comparing partial ROC areas generated by one or more regression techniques to determine the optimal methodology; and (g) dichotomizing the optimal methodology.</p> |
