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Paper   IPM / Biological / 14423
School of Biological Sciences
  Title:   A Bayesian test of homogeneity of association parameter using transition modelling of longitudinal mixed responses
  Author(s): 
1.  s. Noorian
2.  Mojtaba Ganjali
3.  E. Bahrami Samani
  Status:   Published
  Journal: J. Appl. Statist.
  No.:  10
  Vol.:  43
  Year:  2016
  Pages:   1850-1863
  Supported by:  IPM
  Abstract:
In this paper, a Bayesian framework using a joint transition model for analysing longitudinal mixed ordinal and continuous responses is considered. The joint model considers a multivariate mixed model for the responses in which a transitive cumulative logistic regression model and an autoregressive regression model are used to model ordinal and continuous responses, respectively. Also, to take into account the association between longitudinal ordinal and continuous responses, a dynamic association parameter is used. A test is conducted to see whether this parameter is time-invariant and another test is presented to see whether this parameter is equal to zero or significantly far from zero. Our approach is applied to longitudinal PIAT (Peabody Individual Achievement Test) data where the Bayesian estimates of parameters are obtained.

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