Spatial-temporal Bayesian accelerated failure time models for survival endpoints with applications to prostate cancer registry data

Location
Deutsche Nationalbibliothek Frankfurt am Main
Extent
1 Online-Ressource.
Language
Englisch

Bibliographic citation
Spatial-temporal Bayesian accelerated failure time models for survival endpoints with applications to prostate cancer registry data ; volume:24 ; number:1 ; day:8 ; month:4 ; year:2024 ; pages:1-13 ; date:12.2024
BMC medical research methodology ; 24, Heft 1 (8.4.2024), 1-13, 12.2024

Classification
Medizin, Gesundheit

Creator
Wang, Ming
Li, Zheng
Lu, Jun
Zhang, Lijun
Li, Yimei
Zhang, Liangliang
Contributor
SpringerLink (Online service)

DOI
10.1186/s12874-024-02201-w
URN
urn:nbn:de:101:1-2406241005433.815469288960
Rights
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
14.08.2025, 11:00 AM CEST

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Associated

  • Wang, Ming
  • Li, Zheng
  • Lu, Jun
  • Zhang, Lijun
  • Li, Yimei
  • Zhang, Liangliang
  • SpringerLink (Online service)

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