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

Abstract

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

Topics

  • Presentations referencing similar topics