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Time-to-event studies: how robust are inferences when the assumption of independent censoring is in doubt?

Detalles Bibliográficos
Autores principales: Law, Martin, Jackson, Dan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4660132/
http://dx.doi.org/10.1186/1745-6215-16-S2-P138
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author Law, Martin
Jackson, Dan
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Jackson, Dan
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spelling pubmed-46601322015-12-02 Time-to-event studies: how robust are inferences when the assumption of independent censoring is in doubt? Law, Martin Jackson, Dan Trials Poster Presentation BioMed Central 2015-11-16 /pmc/articles/PMC4660132/ http://dx.doi.org/10.1186/1745-6215-16-S2-P138 Text en Copyright © 2015 Law and Jackson 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 work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Poster Presentation
Law, Martin
Jackson, Dan
Time-to-event studies: how robust are inferences when the assumption of independent censoring is in doubt?
title Time-to-event studies: how robust are inferences when the assumption of independent censoring is in doubt?
title_full Time-to-event studies: how robust are inferences when the assumption of independent censoring is in doubt?
title_fullStr Time-to-event studies: how robust are inferences when the assumption of independent censoring is in doubt?
title_full_unstemmed Time-to-event studies: how robust are inferences when the assumption of independent censoring is in doubt?
title_short Time-to-event studies: how robust are inferences when the assumption of independent censoring is in doubt?
title_sort time-to-event studies: how robust are inferences when the assumption of independent censoring is in doubt?
topic Poster Presentation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4660132/
http://dx.doi.org/10.1186/1745-6215-16-S2-P138
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