Standard error of inverse prediction for dose-response relationship: approximate and exact statistical inference.


This paper develops a new metric, the standard error of inverse prediction (SEIP), for a dose-response relationship (calibration curve) when dose is estimated from response via inverse regression. SEIP can be viewed as a generalization of the coefficient of variation to regression problem when x is predicted using y-value. We employ nonstandard statistical… (More)
DOI: 10.1002/sim.5668


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