ArticleBiometrical journal. Biometrische Zeitschrift2022
On the choice of timescale for other cause mortality in a competing risk setting using flexible parametric survival models.
Article in Biometrical journal. Biometrische Zeitschrift, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed.
- Generational variation and life‑course accumulation of social inequalities in all-cause mortality in Germany: a cohort-sequential study.International journal for equity in health · 2026Article
- Sex differences in life-course social disadvantage and all-cause mortality: evidence from a longitudinal study from 1996 to 2023.BMC public health · 2026Article
- Competing risks models with two time scales.Statistical methods in medical research · 2025Article
- Observational
- Exploring different research questions via complex multi-state models when using registry-based repeated prescriptions of antidepressants in women with breast cancer and a matched population comparison group.BMC medical research methodology · 2023Article
- On the choice of timescale for other cause mortality in a competing risk setting using flexible parametric survival models.Biometrical journal. Biometrische Zeitschrift · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In competing risks settings where the events are death due to cancer and death due to other causes, it is common practice to use time since diagnosis as the timescale for all competing events. However, attained age has been proposed as a more natural choice of timescale for modeling other cause mortality. We examine the choice of using time since diagnosis versus attained age as the timescale when modeling other cause mortality, assuming that the hazard rate is a function of attained age, and how this choice can influence the cumulative incidence functions (
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.