Simulation-based assessment of a Bayesian M-spline survival model with flexible baseline hazard and time-dependent effects.

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Bibliographic Details
Title: Simulation-based assessment of a Bayesian M-spline survival model with flexible baseline hazard and time-dependent effects.
Authors: Timmins IR; Statistical Innovation, Oncology R&D, AstraZeneca, Cambridge, UK. iain.timmins@btinternet.com.; Department of Health Services Research and Policy, London School of Hygiene & Tropical Medicine, London, UK. iain.timmins@btinternet.com., Torabi F; Professional and Continuing Education, University of Cambridge, Cambridge, UK.; Dementias Platform UK, Swansea University, Swansea, Wales, UK., Jackson CH; MRC Biostatistics Unit, University of Cambridge, Cambridge, UK., Lambert PC; Cancer Registry of Norway, Norwegian Institute of Public Health, Oslo, Norway.; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden., Sweeting MJ; Statistical Innovation, Oncology R&D, AstraZeneca, Cambridge, UK.; Department of Population Health Sciences, University of Leicester, Leicester, UK.
Source: BMC medical research methodology [BMC Med Res Methodol] 2026 Feb 12; Vol. 26 (1). Date of Electronic Publication: 2026 Feb 12.
Publication Type: Journal Article
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 100968545 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2288 (Electronic) Linking ISSN: 14712288 NLM ISO Abbreviation: BMC Med Res Methodol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1471-2288
DOI:10.1186/s12874-026-02783-7