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A Formal Representation of the WHO and UNICEF Estimates of National Immunization Coverage: A Computational Logic Approach
Production of official statistics frequently requires expert judgement to evaluate and reconcile data of unknown and varying quality from multiple and potentially conflicting sources. Moreover, exceptional events may be difficult to incorporate in modelled estimates. Computational logic provides a m...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3485034/ https://www.ncbi.nlm.nih.gov/pubmed/23133527 http://dx.doi.org/10.1371/journal.pone.0047806 |
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author | Burton, Anthony Kowalski, Robert Gacic-Dobo, Marta Karimov, Rouslan Brown, David |
author_facet | Burton, Anthony Kowalski, Robert Gacic-Dobo, Marta Karimov, Rouslan Brown, David |
author_sort | Burton, Anthony |
collection | PubMed |
description | Production of official statistics frequently requires expert judgement to evaluate and reconcile data of unknown and varying quality from multiple and potentially conflicting sources. Moreover, exceptional events may be difficult to incorporate in modelled estimates. Computational logic provides a methodology and tools for incorporating analyst's judgement, integrating multiple data sources and modelling methods, ensuring transparency and replicability, and making documentation computationally accessible. Representations using computational logic can be implemented in a variety of computer-based languages for automated production. Computational logic complements standard mathematical and statistical techniques and extends the flexibility of mathematical and statistical modelling. A basic overview of computational logic is presented and its application to official statistics is illustrated with the WHO & UNICEF estimates of national immunization coverage. |
format | Online Article Text |
id | pubmed-3485034 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-34850342012-11-06 A Formal Representation of the WHO and UNICEF Estimates of National Immunization Coverage: A Computational Logic Approach Burton, Anthony Kowalski, Robert Gacic-Dobo, Marta Karimov, Rouslan Brown, David PLoS One Research Article Production of official statistics frequently requires expert judgement to evaluate and reconcile data of unknown and varying quality from multiple and potentially conflicting sources. Moreover, exceptional events may be difficult to incorporate in modelled estimates. Computational logic provides a methodology and tools for incorporating analyst's judgement, integrating multiple data sources and modelling methods, ensuring transparency and replicability, and making documentation computationally accessible. Representations using computational logic can be implemented in a variety of computer-based languages for automated production. Computational logic complements standard mathematical and statistical techniques and extends the flexibility of mathematical and statistical modelling. A basic overview of computational logic is presented and its application to official statistics is illustrated with the WHO & UNICEF estimates of national immunization coverage. Public Library of Science 2012-10-25 /pmc/articles/PMC3485034/ /pubmed/23133527 http://dx.doi.org/10.1371/journal.pone.0047806 Text en © 2012 Burton 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, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Burton, Anthony Kowalski, Robert Gacic-Dobo, Marta Karimov, Rouslan Brown, David A Formal Representation of the WHO and UNICEF Estimates of National Immunization Coverage: A Computational Logic Approach |
title | A Formal Representation of the WHO and UNICEF Estimates of National Immunization Coverage: A Computational Logic Approach |
title_full | A Formal Representation of the WHO and UNICEF Estimates of National Immunization Coverage: A Computational Logic Approach |
title_fullStr | A Formal Representation of the WHO and UNICEF Estimates of National Immunization Coverage: A Computational Logic Approach |
title_full_unstemmed | A Formal Representation of the WHO and UNICEF Estimates of National Immunization Coverage: A Computational Logic Approach |
title_short | A Formal Representation of the WHO and UNICEF Estimates of National Immunization Coverage: A Computational Logic Approach |
title_sort | formal representation of the who and unicef estimates of national immunization coverage: a computational logic approach |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3485034/ https://www.ncbi.nlm.nih.gov/pubmed/23133527 http://dx.doi.org/10.1371/journal.pone.0047806 |
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