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:: Volume 10, Issue 1 (8-2016) ::
JSS 2016, 10(1): 113-128 Back to browse issues page
Modelling Mixed Survival and Discrete Data Using Copula Function
Mina Godazi , MohammadReza Akhoond * , AbdolRahman Rasekh Rasekh
Abstract:   (11021 Views)

One of the methods that in recent years has attracted the attention of many researchers for modeling multivariate mixed outcome data is using the copula function. In this paper a regression model for mixed survival and discrete outcome data based on copula function is proposed. Where the continuous variable was time and could has censored observations. For this task it is assumed that marginal distributions are known and a latent variable was used to transform discrete variable to continuous. Then by using a copula function, the joint distribution of two variables was constructed and finally the obtained model was used to model birth interval data in Ahwaz city in south-west of Iran.

Keywords: Copula function, Censored observation, Mixed data, Latent variable, Birth intervals
Full-Text [PDF 529 kb]   (2575 Downloads)    
Type of Study: Applied | Subject: Biostatistics
Received: 2014/09/20 | Accepted: 2015/09/15 | Published: 2015/09/15
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Godazi M, Akhoond M, Rasekh A R. Modelling Mixed Survival and Discrete Data Using Copula Function. JSS 2016; 10 (1) :113-128
URL: http://jss.irstat.ir/article-1-324-en.html


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Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 10, Issue 1 (8-2016) Back to browse issues page
مجله علوم آماری – نشریه علمی پژوهشی انجمن آمار ایران Journal of Statistical Sciences

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