Constructing a bootstrap confidence interval for the unknown concentration in radioimmunoassay.
The statistical problem associated with radioimmunoassay is known as calibration or inverse regression. In the current study, we propose a bootstrap procedure aimed at constructing an inverse confidence interval for the univariate calibration problem. The calibration curve is estimated either parametrically or by non-parametric regression. The methods are illustrated by an example.
Rosen
O
O
Faculty of Industrial Engineering and Management, Technion - Israel Institute of Technology, Haifa.
Cohen
A
A
D002138:Calibration; D016001:Confidence Intervals; D003627:Data Interpretation, Statistical; D006801:Humans; D016015:Logistic Models; D011863:Radioimmunoassay / Q000706:statistics & numerical data*; D012044:Regression Analysis; D018709:Statistics, Nonparametric