Linear regression for calibration lines revisited: weighting schemes for bioanalytical methods
Autor(a) principal: | |
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Data de Publicação: | 2002 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10316/277 https://doi.org/10.1016/S1570-0232(02)00244-1 |
Resumo: | When the assumption of homoscedasticity is not met for analytical data, a simple and effective way to counteract the greater influence of the greater concentrations on the fitted regression line is to use weighted least squares linear regression (WLSLR). The purpose of the present paper is to stress the relevance of weighting schemes for linear regression analysis and to show how this approach can be useful in the bioanalytical field. The steps to be taken in the study of the linear calibration approach are described. The application of weighting schemes was shown by using a high-performance liquid chromatography method for the determination of lamotrigine in biological fluids as a practical example. By using the WLSLR, the accuracy of the analytical method was improved at the lower end of the calibration curve. Bioanalytical methods data analysis was improved by using the WLSLR procedure. |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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7160 |
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Linear regression for calibration lines revisited: weighting schemes for bioanalytical methodsregressão linearmétodos bioanalíticoscurvas de calibraçãoWhen the assumption of homoscedasticity is not met for analytical data, a simple and effective way to counteract the greater influence of the greater concentrations on the fitted regression line is to use weighted least squares linear regression (WLSLR). The purpose of the present paper is to stress the relevance of weighting schemes for linear regression analysis and to show how this approach can be useful in the bioanalytical field. The steps to be taken in the study of the linear calibration approach are described. The application of weighting schemes was shown by using a high-performance liquid chromatography method for the determination of lamotrigine in biological fluids as a practical example. By using the WLSLR, the accuracy of the analytical method was improved at the lower end of the calibration curve. Bioanalytical methods data analysis was improved by using the WLSLR procedure.3910-3178-31BA | MARIA MARGARIDA COUTINHO DE SEABRA CASTEL-BRANCO CAETANOinfo:eu-repo/semantics/publishedVersionElsevier2002-07-15info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleaplication/PDFhttp://hdl.handle.net/10316/277http://hdl.handle.net/10316/277https://doi.org/10.1016/S1570-0232(02)00244-1engJournal of Chromatography B: Analytical Technologies in the Biomedical and Life Sciences 774: 2 (2002) 215-2220021-96731570-0232Almeida, Anabela Maduro deCastel-Branco, Maria MargaridaFalcão, Amílcarinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2022-10-21T10:55:31Zoai:estudogeral.uc.pt:10316/277Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:47:26.014995Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Linear regression for calibration lines revisited: weighting schemes for bioanalytical methods |
title |
Linear regression for calibration lines revisited: weighting schemes for bioanalytical methods |
spellingShingle |
Linear regression for calibration lines revisited: weighting schemes for bioanalytical methods Almeida, Anabela Maduro de regressão linear métodos bioanalíticos curvas de calibração |
title_short |
Linear regression for calibration lines revisited: weighting schemes for bioanalytical methods |
title_full |
Linear regression for calibration lines revisited: weighting schemes for bioanalytical methods |
title_fullStr |
Linear regression for calibration lines revisited: weighting schemes for bioanalytical methods |
title_full_unstemmed |
Linear regression for calibration lines revisited: weighting schemes for bioanalytical methods |
title_sort |
Linear regression for calibration lines revisited: weighting schemes for bioanalytical methods |
author |
Almeida, Anabela Maduro de |
author_facet |
Almeida, Anabela Maduro de Castel-Branco, Maria Margarida Falcão, Amílcar |
author_role |
author |
author2 |
Castel-Branco, Maria Margarida Falcão, Amílcar |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Almeida, Anabela Maduro de Castel-Branco, Maria Margarida Falcão, Amílcar |
dc.subject.por.fl_str_mv |
regressão linear métodos bioanalíticos curvas de calibração |
topic |
regressão linear métodos bioanalíticos curvas de calibração |
description |
When the assumption of homoscedasticity is not met for analytical data, a simple and effective way to counteract the greater influence of the greater concentrations on the fitted regression line is to use weighted least squares linear regression (WLSLR). The purpose of the present paper is to stress the relevance of weighting schemes for linear regression analysis and to show how this approach can be useful in the bioanalytical field. The steps to be taken in the study of the linear calibration approach are described. The application of weighting schemes was shown by using a high-performance liquid chromatography method for the determination of lamotrigine in biological fluids as a practical example. By using the WLSLR, the accuracy of the analytical method was improved at the lower end of the calibration curve. Bioanalytical methods data analysis was improved by using the WLSLR procedure. |
publishDate |
2002 |
dc.date.none.fl_str_mv |
2002-07-15 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10316/277 http://hdl.handle.net/10316/277 https://doi.org/10.1016/S1570-0232(02)00244-1 |
url |
http://hdl.handle.net/10316/277 https://doi.org/10.1016/S1570-0232(02)00244-1 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Journal of Chromatography B: Analytical Technologies in the Biomedical and Life Sciences 774: 2 (2002) 215-222 0021-9673 1570-0232 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
aplication/PDF |
dc.publisher.none.fl_str_mv |
Elsevier |
publisher.none.fl_str_mv |
Elsevier |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799133751231381504 |