Cited 0 time in
Comparison between polynomial regression and weighted least squares regression analysis for verification of linearity of quantitative measurements
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Jeong, T. | - |
| dc.contributor.author | Kim, S. K. | - |
| dc.contributor.author | Kim, S. | - |
| dc.contributor.author | Lim, C. | - |
| dc.contributor.author | Chung, J. | - |
| dc.date.accessioned | 2023-04-27T11:40:47Z | - |
| dc.date.available | 2023-04-27T11:40:47Z | - |
| dc.date.issued | 2022-05 | - |
| dc.identifier.issn | 0009-8981 | - |
| dc.identifier.issn | 1873-3492 | - |
| dc.identifier.uri | https://scholarworks.dongguk.edu/handle/sw.dongguk/3179 | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | Elsevier BV | - |
| dc.title | Comparison between polynomial regression and weighted least squares regression analysis for verification of linearity of quantitative measurements | - |
| dc.type | Article | - |
| dc.publisher.location | 네델란드 | - |
| dc.identifier.doi | 10.1016/j.cca.2022.04.231 | - |
| dc.identifier.wosid | 000811569200522 | - |
| dc.identifier.bibliographicCitation | Clinica Chimica Acta, v.530, no.Supplement, pp S262 - S262 | - |
| dc.citation.title | Clinica Chimica Acta | - |
| dc.citation.volume | 530 | - |
| dc.citation.number | Supplement | - |
| dc.citation.startPage | S262 | - |
| dc.citation.endPage | S262 | - |
| dc.type.docType | Meeting Abstract | - |
| dc.description.isOpenAccess | Y | - |
| dc.description.journalRegisteredClass | scie | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.relation.journalResearchArea | Medical Laboratory Technology | - |
| dc.relation.journalWebOfScienceCategory | Medical Laboratory Technology | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
30, Pildong-ro 1-gil, Jung-gu, Seoul, 04620, Republic of Korea+82-2-2260-3114
Copyright(c) 2023 DONGGUK UNIVERSITY. ALL RIGHTS RESERVED.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.
