On model selection for standard curve in assay development
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
Author(s)
Detail(s)
| Original language | English |
|---|---|
| Pages (from-to) | 285-296 |
| Journal / Publication | Journal of Biopharmaceutical Statistics |
| Volume | 5 |
| Issue number | 3 |
| Publication status | Published - 1 Jan 1995 |
Link(s)
Abstract
This paper discusses the selection of an appropriate statistical model for representing standard curve in assay development. This is an important issue in assay validation because the accuracy and reliability of the assay result depend on the selected standard curve. In this study, we propose a selection procedure, which is based on the R2and the mean squared error of the estimation sample, to determine the “best” model. An example concerning an assay validation study is used to illustrate the application of the proposed procedure to discriminate among the five commonly used statistical models. © 1995, Taylor & Francis Group, LLC. All rights reserved.
Citation Format(s)
On model selection for standard curve in assay development. / Tse, Siu-Keung.
In: Journal of Biopharmaceutical Statistics, Vol. 5, No. 3, 01.01.1995, p. 285-296.Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
