Bayesian blockwise inference for joint models of longitudinal and multistate data with application to longitudinal multimorbidity analysis.
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| Title: | Bayesian blockwise inference for joint models of longitudinal and multistate data with application to longitudinal multimorbidity analysis. |
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| Authors: | Chen S; MRC Biostatistics Unit, University of Cambridge, Cambridge, UK., Alvares D; MRC Biostatistics Unit, University of Cambridge, Cambridge, UK., Jackson C; MRC Biostatistics Unit, University of Cambridge, Cambridge, UK., Marshall T; Institute of Applied Health Research, University of Birmingham, Birmingham, UK., Nirantharakumar K; Institute of Applied Health Research, University of Birmingham, Birmingham, UK., Richardson S; MRC Biostatistics Unit, University of Cambridge, Cambridge, UK., Saunders CL; Department of Public Health and Primary Care, University of Cambridge, Cambridge, Cambridgeshire, UK., Barrett JK; MRC Biostatistics Unit, University of Cambridge, Cambridge, UK. |
| Source: | Statistical methods in medical research [Stat Methods Med Res] 2024 Nov; Vol. 33 (11-12), pp. 2027-2042. Date of Electronic Publication: 2024 Oct 21. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: SAGE Publications Country of Publication: England NLM ID: 9212457 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1477-0334 (Electronic) Linking ISSN: 09622802 NLM ISO Abbreviation: Stat Methods Med Res Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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