Dahlberg formula: a novel approach for its evaluation
Autor(a) principal: | |
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Data de Publicação: | 2012 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Dental Press Journal of Orthodontics |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2176-94512012000100015 |
Resumo: | INTRODUCTION: The accurate evaluation of error of measurement (EM) is extremely important as in growth studies as in clinical research, since there are usually quantitatively small changes. In any study it is important to evaluate the EM to validate the results and, consequently, the conclusions. Because of its extreme simplicity, the Dahlberg formula is largely used worldwide, mainly in cephalometric studies. OBJECTIVES: (I) To elucidate the formula proposed by Dahlberg in 1940, evaluating it by comparison with linear regression analysis; (II) To propose a simple methodology to analyze the results, which provides statistical elements to assist researchers in obtaining a consistent evaluation of the EM. METHODS: We applied linear regression analysis, hypothesis tests on its parameters and a formula involving the standard deviation of error of measurement and the measured values. RESULTS AND CONCLUSION: we introduced an error coefficient, which is a proportion related to the scale of observed values. This provides new parameters to facilitate the evaluation of the impact of random errors in the research final results. |
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Dahlberg formula: a novel approach for its evaluationBiostatisticsDahlberg errorMethod errorLinear regression analysisINTRODUCTION: The accurate evaluation of error of measurement (EM) is extremely important as in growth studies as in clinical research, since there are usually quantitatively small changes. In any study it is important to evaluate the EM to validate the results and, consequently, the conclusions. Because of its extreme simplicity, the Dahlberg formula is largely used worldwide, mainly in cephalometric studies. OBJECTIVES: (I) To elucidate the formula proposed by Dahlberg in 1940, evaluating it by comparison with linear regression analysis; (II) To propose a simple methodology to analyze the results, which provides statistical elements to assist researchers in obtaining a consistent evaluation of the EM. METHODS: We applied linear regression analysis, hypothesis tests on its parameters and a formula involving the standard deviation of error of measurement and the measured values. RESULTS AND CONCLUSION: we introduced an error coefficient, which is a proportion related to the scale of observed values. This provides new parameters to facilitate the evaluation of the impact of random errors in the research final results.Dental Press International2012-02-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2176-94512012000100015Dental Press Journal of Orthodontics v.17 n.1 2012reponame:Dental Press Journal of Orthodonticsinstname:Dental Press International (DPI)instacron:DPI10.1590/S2176-94512012000100015info:eu-repo/semantics/openAccessGalvão,Maria Christina de SouzaSato,João RicardoCoelho,Edvaldo Capobiangoeng2012-04-10T00:00:00Zoai:scielo:S2176-94512012000100015Revistahttp://www.scielo.br/dpjoONGhttps://old.scielo.br/oai/scielo-oai.phpartigos@dentalpress.com.br||davidnormando@hotmail.com2177-67092176-9451opendoar:2012-04-10T00:00Dental Press Journal of Orthodontics - Dental Press International (DPI)false |
dc.title.none.fl_str_mv |
Dahlberg formula: a novel approach for its evaluation |
title |
Dahlberg formula: a novel approach for its evaluation |
spellingShingle |
Dahlberg formula: a novel approach for its evaluation Galvão,Maria Christina de Souza Biostatistics Dahlberg error Method error Linear regression analysis |
title_short |
Dahlberg formula: a novel approach for its evaluation |
title_full |
Dahlberg formula: a novel approach for its evaluation |
title_fullStr |
Dahlberg formula: a novel approach for its evaluation |
title_full_unstemmed |
Dahlberg formula: a novel approach for its evaluation |
title_sort |
Dahlberg formula: a novel approach for its evaluation |
author |
Galvão,Maria Christina de Souza |
author_facet |
Galvão,Maria Christina de Souza Sato,João Ricardo Coelho,Edvaldo Capobiango |
author_role |
author |
author2 |
Sato,João Ricardo Coelho,Edvaldo Capobiango |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Galvão,Maria Christina de Souza Sato,João Ricardo Coelho,Edvaldo Capobiango |
dc.subject.por.fl_str_mv |
Biostatistics Dahlberg error Method error Linear regression analysis |
topic |
Biostatistics Dahlberg error Method error Linear regression analysis |
description |
INTRODUCTION: The accurate evaluation of error of measurement (EM) is extremely important as in growth studies as in clinical research, since there are usually quantitatively small changes. In any study it is important to evaluate the EM to validate the results and, consequently, the conclusions. Because of its extreme simplicity, the Dahlberg formula is largely used worldwide, mainly in cephalometric studies. OBJECTIVES: (I) To elucidate the formula proposed by Dahlberg in 1940, evaluating it by comparison with linear regression analysis; (II) To propose a simple methodology to analyze the results, which provides statistical elements to assist researchers in obtaining a consistent evaluation of the EM. METHODS: We applied linear regression analysis, hypothesis tests on its parameters and a formula involving the standard deviation of error of measurement and the measured values. RESULTS AND CONCLUSION: we introduced an error coefficient, which is a proportion related to the scale of observed values. This provides new parameters to facilitate the evaluation of the impact of random errors in the research final results. |
publishDate |
2012 |
dc.date.none.fl_str_mv |
2012-02-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2176-94512012000100015 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2176-94512012000100015 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/S2176-94512012000100015 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Dental Press International |
publisher.none.fl_str_mv |
Dental Press International |
dc.source.none.fl_str_mv |
Dental Press Journal of Orthodontics v.17 n.1 2012 reponame:Dental Press Journal of Orthodontics instname:Dental Press International (DPI) instacron:DPI |
instname_str |
Dental Press International (DPI) |
instacron_str |
DPI |
institution |
DPI |
reponame_str |
Dental Press Journal of Orthodontics |
collection |
Dental Press Journal of Orthodontics |
repository.name.fl_str_mv |
Dental Press Journal of Orthodontics - Dental Press International (DPI) |
repository.mail.fl_str_mv |
artigos@dentalpress.com.br||davidnormando@hotmail.com |
_version_ |
1754122395903328256 |