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For: Ha ID, Noh M, Lee Y. H-likelihood approach for joint modeling of longitudinal outcomes and time-to-event data. Biom J 2017;59:1122-1143. [PMID: 29139605 DOI: 10.1002/bimj.201600243] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2016] [Revised: 08/02/2017] [Accepted: 08/03/2017] [Indexed: 11/09/2022]
Number Cited by Other Article(s)
1
Ha ID, Lee Y. A review of h-likelihood for survival analysis. JAPANESE JOURNAL OF STATISTICS AND DATA SCIENCE 2021. [DOI: 10.1007/s42081-021-00125-z] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
2
A review on recent advances and applications of h-likelihood method. J Korean Stat Soc 2021. [DOI: 10.1007/s42952-021-00130-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
3
Viviani S. Joint models for a GLM-type longitudinal response and a time-to-event with smooth random effects. J Appl Stat 2019. [DOI: 10.1080/02664763.2019.1617253] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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