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Case-cohort design in practice – experiences from the MORGAM Project

When carefully planned and analysed, the case-cohort design is a powerful choice for follow-up studies with multiple event types of interest. While the literature is rich with analysis methods for case-cohort data, little is written about the designing of a case-cohort study. Our experiences in desi...

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Detalles Bibliográficos
Autores principales: Kulathinal, Sangita, Karvanen, Juha, Saarela, Olli, Kuulasmaa, Kari
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2216006/
https://www.ncbi.nlm.nih.gov/pubmed/18053196
http://dx.doi.org/10.1186/1742-5573-4-15
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author Kulathinal, Sangita
Karvanen, Juha
Saarela, Olli
Kuulasmaa, Kari
author_facet Kulathinal, Sangita
Karvanen, Juha
Saarela, Olli
Kuulasmaa, Kari
author_sort Kulathinal, Sangita
collection PubMed
description When carefully planned and analysed, the case-cohort design is a powerful choice for follow-up studies with multiple event types of interest. While the literature is rich with analysis methods for case-cohort data, little is written about the designing of a case-cohort study. Our experiences in designing, coordinating and analysing the MORGAM case-cohort study are potentially useful for other studies with similar characteristics. The motivation for using the case-cohort design in the MORGAM genetic study is discussed and issues relevant to its planning and analysis are studied. We propose solutions for appending the earlier case-cohort selection after an extension of the follow-up period and for achieving maximum overlap between earlier designs and the case-cohort design. Approaches for statistical analysis are studied in a simulation example based on the MORGAM data.
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spelling pubmed-22160062008-01-29 Case-cohort design in practice – experiences from the MORGAM Project Kulathinal, Sangita Karvanen, Juha Saarela, Olli Kuulasmaa, Kari Epidemiol Perspect Innov Analytic Perspective When carefully planned and analysed, the case-cohort design is a powerful choice for follow-up studies with multiple event types of interest. While the literature is rich with analysis methods for case-cohort data, little is written about the designing of a case-cohort study. Our experiences in designing, coordinating and analysing the MORGAM case-cohort study are potentially useful for other studies with similar characteristics. The motivation for using the case-cohort design in the MORGAM genetic study is discussed and issues relevant to its planning and analysis are studied. We propose solutions for appending the earlier case-cohort selection after an extension of the follow-up period and for achieving maximum overlap between earlier designs and the case-cohort design. Approaches for statistical analysis are studied in a simulation example based on the MORGAM data. BioMed Central 2007-12-04 /pmc/articles/PMC2216006/ /pubmed/18053196 http://dx.doi.org/10.1186/1742-5573-4-15 Text en Copyright © 2007 Kulathinal et al; 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 Analytic Perspective
Kulathinal, Sangita
Karvanen, Juha
Saarela, Olli
Kuulasmaa, Kari
Case-cohort design in practice – experiences from the MORGAM Project
title Case-cohort design in practice – experiences from the MORGAM Project
title_full Case-cohort design in practice – experiences from the MORGAM Project
title_fullStr Case-cohort design in practice – experiences from the MORGAM Project
title_full_unstemmed Case-cohort design in practice – experiences from the MORGAM Project
title_short Case-cohort design in practice – experiences from the MORGAM Project
title_sort case-cohort design in practice – experiences from the morgam project
topic Analytic Perspective
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2216006/
https://www.ncbi.nlm.nih.gov/pubmed/18053196
http://dx.doi.org/10.1186/1742-5573-4-15
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