Skip Navigation

Biometrika 1984 71(3):531-543; doi:10.1093/biomet/71.3.531
© 1984 by Biometrika Trust
This Article
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrowRequest Permissions
Google Scholar
Right arrow Articles by OCHI, Y.
Right arrow Articles by PRENTICE, R. L.
Right arrow Search for Related Content
Social Bookmarking
Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

Likelihood inference in a correlated probit regression model

Y. OCHI and ROSS L. PRENTICE

Radiation Effects Research Foundation Hiroshima, Japan
Fred Hutchinson Cancer Research Center, Seattle, Washington, U.S.A.

Equicorrelated binary observations are modelled using a multivariate probit regression model. Log likelihood derivatives are reduced to simple linear combinations of equicorrelated multivariate normal probabilities, which are approximated using the method of Mendell & Elston (1974). A data set with overdispersion illustrates the use of this model.

Key Words: Correlated probit model • Extra-binomial variation • Maximum likelihood • Multivariate normal distribution • Overdispersion • Underdispersion


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?


This article has been cited by other articles:


Home page
 Stat Methods Med ResHome page
G J McLachlan
On the EM algorithm for overdispersed count data
Statistical Methods in Medical Research, February 1, 1997; 6(1): 76 - 98.
[Abstract] [PDF]

Home page
 Eval RevHome page
D. M. Murray, S. M. McKinlay, D. Martin, A. P. Donner, J. H. Dwyer, S. W. Raudenbush, and B. I. Graubard
Design and Analysis Issues in Community Trials
Eval Rev, August 1, 1994; 18(4): 493 - 514.
[Abstract] [PDF]


Disclaimer:
Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.