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Concomitant information in bioassay and semi‐parametric estimation
Author(s) -
Kim Peter T.,
Lee Christine H.
Publication year - 2005
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/sim.1973
Subject(s) - estimator , interval estimation , parametric statistics , point estimation , bioassay , smoothing , semiparametric model , statistics , confidence interval , computer science , estimation , mathematics , concomitant , econometrics , engineering , genetics , biology , systems engineering
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. Copyright © 2004 John Wiley & Sons, Ltd.