[7] Model-independent quantification of measurement error: Empirical estimation of discrete variance function profiles based on standard curves
- 1 January 1994
- book chapter
- Published by Elsevier
- Vol. 240, 121-150
- https://doi.org/10.1016/s0076-6879(94)40046-6
Abstract
No abstract availableKeywords
This publication has 11 references indexed in Scilit:
- Why, when, and how biochemists should use least squaresAnalytical Biochemistry, 1992
- Analysis of the Copulsatility of Anterior Pituitary Hormones*Journal of Clinical Endocrinology & Metabolism, 1991
- Model building in chemistry using profile t and trace plotsChemometrics and Intelligent Laboratory Systems, 1991
- Evaluation of Adair binding constants from experimental data obtained with an Imai cellBiophysical Chemistry, 1990
- Measurement of growth hormone-releasing hormone and somatostatin in hypothalamic-portal plasma of unanesthetized sheep. Spontaneous secretion and response to insulin-induced hypoglycemia.Journal of Clinical Investigation, 1990
- Estimation of variance functions in assays with possibly unequal replication and nonnormal dataBiometrika, 1990
- Resolvability of free energy changes for oxygen binding and subunit association by human hemoglobinBiophysical Journal, 1989
- Variance functions and the minimum detectable concentration in assaysBiometrika, 1988
- Three-state combinatorial switch models as applied to the binding of oxygen by human hemoglobinBiochemistry, 1988
- Statistical estimation of the minimal detectable concentration (“sensitivity”) for radioligand assaysAnalytical Biochemistry, 1978