Concomitant information in bioassay and semi-parametric estimation

Abstract

This paper presents a flexible modern approach to handling concomitant information for estimating the relative potency parameter in quantitative bioassays. This is accomplished in a semi-parametric framework where the concomitant variable is included non-parametrically. Estimation is then performed using smoothing splines where the point and interval estimators of the relative potency parameter exhibits desirable asymptotic properties.

Bayesian statistics in medicine: a 25 year review

“…Dose escalation with overdose control was proposed in cancer phase I trials [426]. Concomitant information in bioassay can be incorporated in a semi-parametric model [427]. Dose-finding designs accounted for two endpoints using utilities [428,429] and Bayesian designs for dose-escalation studies in healthy volunteers were compared [430].…”