Surveillance of the Incidence of Non-Communicable Diseases (NCDs) with Sparse Resources: A Simulation Study Using Data from a National Diabetes Registry, Denmark, 1995–2004

We propose two new methods to estimate secular trends in the incidence of a chronic disease from a series of prevalence studies and mortality data. One method is a direct inversion formula, the second method is a least squares estimation. Both methods are validated in a simulation study based on dat...

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Detalles Bibliográficos
Autores principales: Brinks, Ralph, Hoyer, Annika, Landwehr, Sandra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4811427/
https://www.ncbi.nlm.nih.gov/pubmed/27023438
http://dx.doi.org/10.1371/journal.pone.0152046
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author Brinks, Ralph
Hoyer, Annika
Landwehr, Sandra
author_facet Brinks, Ralph
Hoyer, Annika
Landwehr, Sandra
author_sort Brinks, Ralph
collection PubMed
description We propose two new methods to estimate secular trends in the incidence of a chronic disease from a series of prevalence studies and mortality data. One method is a direct inversion formula, the second method is a least squares estimation. Both methods are validated in a simulation study based on data from a diabetes register. The results of the validation show that the proposed methods may be useful in epidemiological settings with sparse resources, where running a register or a series of follow-up studies is difficult or impossible.
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spelling pubmed-48114272016-04-05 Surveillance of the Incidence of Non-Communicable Diseases (NCDs) with Sparse Resources: A Simulation Study Using Data from a National Diabetes Registry, Denmark, 1995–2004 Brinks, Ralph Hoyer, Annika Landwehr, Sandra PLoS One Research Article We propose two new methods to estimate secular trends in the incidence of a chronic disease from a series of prevalence studies and mortality data. One method is a direct inversion formula, the second method is a least squares estimation. Both methods are validated in a simulation study based on data from a diabetes register. The results of the validation show that the proposed methods may be useful in epidemiological settings with sparse resources, where running a register or a series of follow-up studies is difficult or impossible. Public Library of Science 2016-03-29 /pmc/articles/PMC4811427/ /pubmed/27023438 http://dx.doi.org/10.1371/journal.pone.0152046 Text en © 2016 Brinks et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Brinks, Ralph
Hoyer, Annika
Landwehr, Sandra
Surveillance of the Incidence of Non-Communicable Diseases (NCDs) with Sparse Resources: A Simulation Study Using Data from a National Diabetes Registry, Denmark, 1995–2004
title Surveillance of the Incidence of Non-Communicable Diseases (NCDs) with Sparse Resources: A Simulation Study Using Data from a National Diabetes Registry, Denmark, 1995–2004
title_full Surveillance of the Incidence of Non-Communicable Diseases (NCDs) with Sparse Resources: A Simulation Study Using Data from a National Diabetes Registry, Denmark, 1995–2004
title_fullStr Surveillance of the Incidence of Non-Communicable Diseases (NCDs) with Sparse Resources: A Simulation Study Using Data from a National Diabetes Registry, Denmark, 1995–2004
title_full_unstemmed Surveillance of the Incidence of Non-Communicable Diseases (NCDs) with Sparse Resources: A Simulation Study Using Data from a National Diabetes Registry, Denmark, 1995–2004
title_short Surveillance of the Incidence of Non-Communicable Diseases (NCDs) with Sparse Resources: A Simulation Study Using Data from a National Diabetes Registry, Denmark, 1995–2004
title_sort surveillance of the incidence of non-communicable diseases (ncds) with sparse resources: a simulation study using data from a national diabetes registry, denmark, 1995–2004
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4811427/
https://www.ncbi.nlm.nih.gov/pubmed/27023438
http://dx.doi.org/10.1371/journal.pone.0152046
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