Missing link survival analysis with applications to available pandemic data

It is shown how to overcome a new missing data problem in survival analysis. Iterative nonparametric techniques are utilized and the missing data information is both estimated and used for further estimation in each iterative step. Theory is developed and a good finite sample performance is illustra...

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Autores principales: Gámiz, María Luz, Mammen, Enno, Martínez-Miranda, María Dolores, Nielsen, Jens Perch
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8666881/
https://www.ncbi.nlm.nih.gov/pubmed/34924652
http://dx.doi.org/10.1016/j.csda.2021.107405
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author Gámiz, María Luz
Mammen, Enno
Martínez-Miranda, María Dolores
Nielsen, Jens Perch
author_facet Gámiz, María Luz
Mammen, Enno
Martínez-Miranda, María Dolores
Nielsen, Jens Perch
author_sort Gámiz, María Luz
collection PubMed
description It is shown how to overcome a new missing data problem in survival analysis. Iterative nonparametric techniques are utilized and the missing data information is both estimated and used for further estimation in each iterative step. Theory is developed and a good finite sample performance is illustrated by simulations. The main motivation is an application to French data on the temporal development of the number of hospitalized Covid-19 patients.
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spelling pubmed-86668812021-12-14 Missing link survival analysis with applications to available pandemic data Gámiz, María Luz Mammen, Enno Martínez-Miranda, María Dolores Nielsen, Jens Perch Comput Stat Data Anal Article It is shown how to overcome a new missing data problem in survival analysis. Iterative nonparametric techniques are utilized and the missing data information is both estimated and used for further estimation in each iterative step. Theory is developed and a good finite sample performance is illustrated by simulations. The main motivation is an application to French data on the temporal development of the number of hospitalized Covid-19 patients. Elsevier B.V. 2022-05 2021-12-13 /pmc/articles/PMC8666881/ /pubmed/34924652 http://dx.doi.org/10.1016/j.csda.2021.107405 Text en © 2021 Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Gámiz, María Luz
Mammen, Enno
Martínez-Miranda, María Dolores
Nielsen, Jens Perch
Missing link survival analysis with applications to available pandemic data
title Missing link survival analysis with applications to available pandemic data
title_full Missing link survival analysis with applications to available pandemic data
title_fullStr Missing link survival analysis with applications to available pandemic data
title_full_unstemmed Missing link survival analysis with applications to available pandemic data
title_short Missing link survival analysis with applications to available pandemic data
title_sort missing link survival analysis with applications to available pandemic data
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8666881/
https://www.ncbi.nlm.nih.gov/pubmed/34924652
http://dx.doi.org/10.1016/j.csda.2021.107405
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