Your browser does not allow JavaScript!
JavaScript is necessary for the proper functioning of this website. Please enable JavaScript or use a modern browser.
Open Science Slovenia
Open Science
DiKUL
slv
|
eng
Search
Browse
New in RUL
About RUL
In numbers
Help
Sign in
Expected life years compared to the general population
ID
Manevski, Damjan
(
Author
),
ID
Ružić Gorenjec, Nina
(
Author
),
ID
Kragh Andersen, Per
(
Author
),
ID
Pohar Perme, Maja
(
Author
)
PDF - Presentation file,
Download
(3,90 MB)
MD5: F0E8D0C60BCF9C297D72CFE50D44EBEB
URL - Source URL, Visit
https://onlinelibrary.wiley.com/doi/10.1002/bimj.202200070
Image galllery
Abstract
For cohorts with long-term follow-up, the number of years lost due to a certain disease yields a measure with a simple and appealing interpretation. Recently, an overview of the methodology used for this goal has been published, and two measures have been proposed. In this work, we consider a third option that may be useful in settings in which the other two are inappropriate. In all three measures, the survival of the given dataset is compared to the expected survival in the general population which is calculated using external mortality tables. We thoroughly analyze the differences between the three measures, their assumptions, interpretation, and the corresponding estimators. The first measure is defined in a competing risk setting and assumes an excess hazard compared to the population, while the other two measures also allow estimation for groups that live better than the general population. In this case, the observed survival of the patients is compared to that in the population. The starting point of this comparison depends on whether the entry into the study is a hazard changing event (e.g., disease diagnosis or the age at which the inclusion criteria were met). Focusing on the newly defined life years difference measure, we study the estimation of the variance and consider the possible challenges (e.g., extrapolation) that occur in practice. We illustrate its use with a dataset of French Olympic athletes. Finally, an efficient R implementation has been developed for all three measures which make this work easily available to subsequent users.
Language:
English
Keywords:
life years lost
,
survival analysis
,
statistics
,
mortality tables
,
relative survival
Work type:
Article
Typology:
1.01 - Original Scientific Article
Organization:
MF - Faculty of Medicine
Publication status:
Published
Publication version:
Version of Record
Year:
2023
Number of pages:
17 str.
Numbering:
Vol. 65, iss. 4, art. 2200070
PID:
20.500.12556/RUL-147380
UDC:
311
ISSN on article:
1521-4036
DOI:
10.1002/bimj.202200070
COBISS.SI-ID:
141670403
Publication date in RUL:
03.07.2023
Views:
482
Downloads:
58
Metadata:
Cite this work
Plain text
BibTeX
EndNote XML
EndNote/Refer
RIS
ABNT
ACM Ref
AMA
APA
Chicago 17th Author-Date
Harvard
IEEE
ISO 690
MLA
Vancouver
:
Copy citation
Share:
Record is a part of a journal
Title:
Biometrical journal
Shortened title:
Biom. j.
Publisher:
Wiley
ISSN:
1521-4036
COBISS.SI-ID:
518615833
Licences
License:
CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:
http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:
The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Secondary language
Language:
Slovenian
Keywords:
izgubljena leta življenja
,
analiza preživetja
,
statistika
Projects
Funder:
ARRS - Slovenian Research Agency
Project number:
P3-0154
Name:
Metodologija za analizo podatkov v medicini
Funder:
ARRS - Slovenian Research Agency
Project number:
J3-1761
Name:
Število izgubljenih let kot mera bremena bolezni
Funder:
ARRS - Slovenian Research Agency
Funding programme:
Young researchers
Similar documents
Similar works from RUL:
Similar works from other Slovenian collections:
Back