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Vasectomy reversal and prostate cancer risk: A multi-centre collaborative demonstration project of the Intentional Population Data Linkage Network: Letter to the International Journal of Population Data Science

This first collaborative demonstration project of the International Population Data Linkage Network (IPDLN) has recently been completed. This project collated data from five data linkage centres across Australia, the United Kingdom and Canada to investigate the effect of vasectomy reversal on prosta...

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Detalles Bibliográficos
Autores principales: Boyd, James, Randall, Sean, Fuller, Emma
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Swansea University 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8142620/
https://www.ncbi.nlm.nih.gov/pubmed/34095521
http://dx.doi.org/10.23889/ijpds.v3i1.730
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author Boyd, James
Randall, Sean
Fuller, Emma
author_facet Boyd, James
Randall, Sean
Fuller, Emma
author_sort Boyd, James
collection PubMed
description This first collaborative demonstration project of the International Population Data Linkage Network (IPDLN) has recently been completed. This project collated data from five data linkage centres across Australia, the United Kingdom and Canada to investigate the effect of vasectomy reversal on prostate cancer risk in vasectomized men. We discuss the study and the challenges of organising and analysing multi-centre linked data studies.
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spelling pubmed-81426202021-06-04 Vasectomy reversal and prostate cancer risk: A multi-centre collaborative demonstration project of the Intentional Population Data Linkage Network: Letter to the International Journal of Population Data Science Boyd, James Randall, Sean Fuller, Emma Int J Popul Data Sci Population Data Science This first collaborative demonstration project of the International Population Data Linkage Network (IPDLN) has recently been completed. This project collated data from five data linkage centres across Australia, the United Kingdom and Canada to investigate the effect of vasectomy reversal on prostate cancer risk in vasectomized men. We discuss the study and the challenges of organising and analysing multi-centre linked data studies. Swansea University 2018-10-08 /pmc/articles/PMC8142620/ /pubmed/34095521 http://dx.doi.org/10.23889/ijpds.v3i1.730 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License.
spellingShingle Population Data Science
Boyd, James
Randall, Sean
Fuller, Emma
Vasectomy reversal and prostate cancer risk: A multi-centre collaborative demonstration project of the Intentional Population Data Linkage Network: Letter to the International Journal of Population Data Science
title Vasectomy reversal and prostate cancer risk: A multi-centre collaborative demonstration project of the Intentional Population Data Linkage Network: Letter to the International Journal of Population Data Science
title_full Vasectomy reversal and prostate cancer risk: A multi-centre collaborative demonstration project of the Intentional Population Data Linkage Network: Letter to the International Journal of Population Data Science
title_fullStr Vasectomy reversal and prostate cancer risk: A multi-centre collaborative demonstration project of the Intentional Population Data Linkage Network: Letter to the International Journal of Population Data Science
title_full_unstemmed Vasectomy reversal and prostate cancer risk: A multi-centre collaborative demonstration project of the Intentional Population Data Linkage Network: Letter to the International Journal of Population Data Science
title_short Vasectomy reversal and prostate cancer risk: A multi-centre collaborative demonstration project of the Intentional Population Data Linkage Network: Letter to the International Journal of Population Data Science
title_sort vasectomy reversal and prostate cancer risk: a multi-centre collaborative demonstration project of the intentional population data linkage network: letter to the international journal of population data science
topic Population Data Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8142620/
https://www.ncbi.nlm.nih.gov/pubmed/34095521
http://dx.doi.org/10.23889/ijpds.v3i1.730
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