Bayesian approach to analysing longitudinal bivariate binary data with informative dropout
Jennifer Chan and
Computational Statistics, 2011, vol. 26, issue 1, 144 pages
Keywords: Correlated bivariate binary data; Informative dropout; Random effects model; Bayesian method; Markov chain Monte Carlo method (search for similar items in EconPapers)
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed
Downloads: (external link)
Access to full text is restricted to subscribers.
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:spr:compst:v:26:y:2011:i:1:p:121-144
Ordering information: This journal article can be ordered from
Access Statistics for this article
Computational Statistics is currently edited by Wataru Sakamoto, Ricardo Cao and Jürgen Symanzik
More articles in Computational Statistics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().