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For: Liu Z, Bartsch AJ, Berrocal VJ, Johnson TD. A mixed-effects, spatially varying coefficients model with application to multi-resolution functional magnetic resonance imaging data. Stat Methods Med Res 2019;28:1203-1215. [PMID: 29334860 DOI: 10.1177/0962280217752378] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Number Cited by Other Article(s)
1
Whiteman AS, Bartsch AJ, Kang J, Johnson TD. Bayesian inference for brain activity from functional magnetic resonance imaging collected at two spatial resolutions. Ann Appl Stat 2022;16:2626-2647. [DOI: 10.1214/22-aoas1606] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
2
Naseri P, Alavi Majd H, Tabatabaei SM. Integrated nested Laplace approximation method for hierarchical Bayesian inference of spatial model with application to functional magnetic resonance imaging data. COMMUN STAT-THEOR M 2020. [DOI: 10.1080/03610926.2020.1776327] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
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