The DOI matches its Crossref record.
A Competing-Risk Model Based on the Life Table Procedure in Epidemiological Studies
Abstract
In this paper, a new non-parametric competing-risk model is proposed. This model takes relative susceptibility into account, and is thus free from the usual assumption of independence between competing causes of death. Another feature of the model is the adjustments of survivors and deaths as a results of the elimination of one of the causes of death in the previous time interval. The computational procedure of the model is simple and can be incorporated into the regular life table procedures.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Multiple cause of death statistics have only rarely been used to adjust conventional cause-elimination calculations.
“In several countries information on other conditions mentioned on the death certificate is made available in the form of multiple cause of death statistics, [13][14][15][16] but these have only rarely been used to adjust conventional causeelimination calculations, 9 17 even though according to an authoritative review this would be one of the most promising applications.11”
From Gains in life expectancy after elimination of major causes of death: revised estimates taking into account the effect of competing causes. (1999) · cites this paper as [17]
Citations
Cited by
Sorted by citations
Mackenbach, J. P., Kunst, A. E., Lautenbach, H., Oei, Y. B., & Bijlsma, F. (1999) · Journal of Epidemiology and Community Health · doi:10.1136/jech.53.1.32 · Cited by 43
Metadata
- Authors
- WONG, O.
- Venue
- International Journal of Epidemiology
- Publisher
- Oxford University Press (OUP)
- Published
- 1977
- Volume
- 6
- Issue
- 2
- Pages
- 153-159
- ISSN
- 0300-5771
- 1464-3685
- Cited by
- 21
- References
- 0
- Language
- en
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
