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Integrated analysis of incidence, progression, regression and disappearance probabilities

BACKGROUND: Age-related maculopathy (ARM) is a leading cause of vision loss in people aged 65 or older. ARM is distinctive in that it is a disease which can transition through incidence, progression, regression and disappearance. The purpose of this study is to develop methodologies for studying the...

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Autor principal: Huang, Guan-Hua
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2459200/
https://www.ncbi.nlm.nih.gov/pubmed/18577235
http://dx.doi.org/10.1186/1471-2288-8-40
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author Huang, Guan-Hua
author_facet Huang, Guan-Hua
author_sort Huang, Guan-Hua
collection PubMed
description BACKGROUND: Age-related maculopathy (ARM) is a leading cause of vision loss in people aged 65 or older. ARM is distinctive in that it is a disease which can transition through incidence, progression, regression and disappearance. The purpose of this study is to develop methodologies for studying the relationship of risk factors with different transition probabilities. METHODS: Our framework for studying this relationship includes two different analytical approaches. In the first approach, one can define, model and estimate the relationship between each transition probability and risk factors separately. This approach is similar to constraining a population to a certain disease status at the baseline, and then analyzing the probability of the constrained population to develop a different status. While this approach is intuitive, one risks losing available information while at the same time running into the problem of insufficient sample size. The second approach specifies a transition model for analyzing such a disease. This model provides the conditional probability of a current disease status based upon a previous status, and can therefore jointly analyze all transition probabilities. Throughout the paper, an analysis to determine the birth cohort effect on ARM is used as an illustration. RESULTS AND CONCLUSION: This study has found parallel separate and joint analyses to be more enlightening than any analysis in isolation. By implementing both approaches, one can obtain more reliable and more efficient results.
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spelling pubmed-24592002008-07-14 Integrated analysis of incidence, progression, regression and disappearance probabilities Huang, Guan-Hua BMC Med Res Methodol Research Article BACKGROUND: Age-related maculopathy (ARM) is a leading cause of vision loss in people aged 65 or older. ARM is distinctive in that it is a disease which can transition through incidence, progression, regression and disappearance. The purpose of this study is to develop methodologies for studying the relationship of risk factors with different transition probabilities. METHODS: Our framework for studying this relationship includes two different analytical approaches. In the first approach, one can define, model and estimate the relationship between each transition probability and risk factors separately. This approach is similar to constraining a population to a certain disease status at the baseline, and then analyzing the probability of the constrained population to develop a different status. While this approach is intuitive, one risks losing available information while at the same time running into the problem of insufficient sample size. The second approach specifies a transition model for analyzing such a disease. This model provides the conditional probability of a current disease status based upon a previous status, and can therefore jointly analyze all transition probabilities. Throughout the paper, an analysis to determine the birth cohort effect on ARM is used as an illustration. RESULTS AND CONCLUSION: This study has found parallel separate and joint analyses to be more enlightening than any analysis in isolation. By implementing both approaches, one can obtain more reliable and more efficient results. BioMed Central 2008-06-25 /pmc/articles/PMC2459200/ /pubmed/18577235 http://dx.doi.org/10.1186/1471-2288-8-40 Text en Copyright © 2008 Huang; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Huang, Guan-Hua
Integrated analysis of incidence, progression, regression and disappearance probabilities
title Integrated analysis of incidence, progression, regression and disappearance probabilities
title_full Integrated analysis of incidence, progression, regression and disappearance probabilities
title_fullStr Integrated analysis of incidence, progression, regression and disappearance probabilities
title_full_unstemmed Integrated analysis of incidence, progression, regression and disappearance probabilities
title_short Integrated analysis of incidence, progression, regression and disappearance probabilities
title_sort integrated analysis of incidence, progression, regression and disappearance probabilities
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2459200/
https://www.ncbi.nlm.nih.gov/pubmed/18577235
http://dx.doi.org/10.1186/1471-2288-8-40
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