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For: Samani EB. Sensitivity analysis for the identifiability with application to latent random effect model for the mixed data. J Appl Stat 2014. [DOI: 10.1080/02664763.2014.929641] [Citation(s) in RCA: 4] [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: 10/25/2022]
Number Cited by Other Article(s)
1
A note on the identifiability of latent variable models for mixed longitudinal data. Stat Probab Lett 2020. [DOI: 10.1016/j.spl.2020.108882] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
2
Tabrizi E, Bahrami Samani E, Ganjali M. Identifiability of parameters in longitudinal correlated Poisson and inflated beta regression model with non-ignorable missing mechanism. STATISTICS-ABINGDON 2020. [DOI: 10.1080/02331888.2020.1748883] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
3
Regis M, Brini A, Nooraee N, Haakma R, van den Heuvel ER. Thetlinear mixed model: model formulation, identifiability and estimation. COMMUN STAT-SIMUL C 2019. [DOI: 10.1080/03610918.2019.1694153] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
4
Sharifian N, Bahrami Samani E, Ganjali M. Joint modeling for longitudinal set-inflated continuous and count responses. COMMUN STAT-THEOR M 2019. [DOI: 10.1080/03610926.2019.1646768] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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