A comprehensive simulation study evaluating the predictive performance of Cox proportional hazards model and machine learning methods for time-to-event data
- DOI
- 10.1186/s12874-026-03050-5
- Published
- 2026-11-10
- Container
- BMC Medical Research Methodology
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- supportingDOI registered: A matching record was returned by Crossref.
- supportingDOI resolves: A matching record was returned by Crossref.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.1186/s12874-026-03050-5,
title = {A comprehensive simulation study evaluating the predictive performance of Cox proportional hazards model and machine learning methods for time-to-event data},
author = {Josline Adhiambo Otieno and Jenny Häggström and Marie Eriksson},
year = {2026},
journal = {BMC Medical Research Methodology},
doi = {10.1186/s12874-026-03050-5},
url = {https://doi.org/10.1186/s12874-026-03050-5}
}RIS
TY - JOUR TI - A comprehensive simulation study evaluating the predictive performance of Cox proportional hazards model and machine learning methods for time-to-event data AU - Josline Adhiambo Otieno AU - Jenny Häggström AU - Marie Eriksson PY - 2026 JO - BMC Medical Research Methodology DO - 10.1186/s12874-026-03050-5 UR - https://doi.org/10.1186/s12874-026-03050-5 ER -
APA
Otieno, J. A., Häggström, J., & Eriksson, M. (2026). A comprehensive simulation study evaluating the predictive performance of Cox proportional hazards model and machine learning methods for time-to-event data. BMC Medical Research Methodology. https://doi.org/10.1186/s12874-026-03050-5
Source records
- crossref · retrieved 2026-11-10T20:18:03.253Z