Concomitant information in bioassay and semi-parametric estimation
Copyright policy ) Peter T, Kim; Christine H, Lee;
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.
- St. Joseph's Hospital Canada
- University of Guelph Canada
- St. Joseph Hospital United States
Models, Statistical, Data Interpretation, Statistical, Animals, Drug Evaluation, Biological Assay, Computer Simulation
Models, Statistical, Data Interpretation, Statistical, Animals, Drug Evaluation, Biological Assay, Computer Simulation
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These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
Citations provided by BIP!popularityPopularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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