Including uncertainty of the expected mortality rates in the prediction of loss in life expectancy.
Expected mortality rates
Flexible parametric survival models
Loss in life expectancy
Relative survival
Journal
BMC medical research methodology
ISSN: 1471-2288
Titre abrégé: BMC Med Res Methodol
Pays: England
ID NLM: 100968545
Informations de publication
Date de publication:
12 Dec 2023
12 Dec 2023
Historique:
received:
03
07
2023
accepted:
01
12
2023
medline:
13
12
2023
pubmed:
13
12
2023
entrez:
13
12
2023
Statut:
epublish
Résumé
This study introduces a novel method for estimating the variance of life expectancy since diagnosis (LE To illustrate the approach, we estimated LE By accounting for the uncertainty of expected mortality rates, the proposed method ensures more accurate estimates of variances and, therefore, confidence intervals of LE The method can be implemented using existing software, making it accessible for use in various cancer studies. The provided example of Stata code further facilitates its adoption.
Identifiants
pubmed: 38087236
doi: 10.1186/s12874-023-02118-w
pii: 10.1186/s12874-023-02118-w
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
291Subventions
Organisme : The Swedish Research Council (Vetenskaprådet)
ID : 2019-01965,2019-00227
Organisme : The Swedish Research Council (Vetenskaprådet)
ID : 2017-01591,2021-01875
Organisme : The Swedish Research Council (Vetenskaprådet)
ID : 2019-01965,2019-00227
Organisme : The Swedish Cancer Society (Cancerfonden)
ID : 19 0102 Pj, 22 2126 Pj
Organisme : The Swedish Cancer Society (Cancerfonden)
ID : 2018/744,2021/1890
Organisme : The Swedish Cancer Society (Cancerfonden)
ID : 19 0102 Pj, 22 2126 Pj
Informations de copyright
© 2023. The Author(s).
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