Concomitant information in bioassay and semi-parametric estimation.
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.
Kim
Peter T
PT
Department of Mathematics and Statistics, University of Guelph, Guelph, Ontario, Canada N1G 2W1. pkim@uoguelph.ca
Lee
Christine H
CH
D000818:Animals; D001681:Biological Assay / Q000379:methods*; D003198:Computer Simulation; D003627:Data Interpretation, Statistical; D004341:Drug Evaluation / Q000379:methods*; D015233:Models, Statistical