Permutation invariance of alternating logistic regression for multivariate binary data

Biometrika

Volumn 91, Issue 3, 2004, Pages 758-761

  Kuk, Anthony Y C ^a  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

Clustered data; Conditional residual; Generalised estimating equation; Longitudinal data; Pairwise likelihood

Indexed keywords

EID: 24944532196     PISSN: 00063444     EISSN: None     Source Type: Journal    
DOI: 10.1093/biomet/91.3.758     Document Type: Article

References (7)

1. AERTS, M., GEYS, H., MOLENBERGHS, G. & RYAN, L. M. (2002). Topics in Modelling of Clustered Data. London: Chapman and Hall.
2. CAREY, V., ZEGER, S. L. & DIGGLE, P. (1993). Modelling multivariate binary data with alternating logistic regressions. Biometrika 80, 517-26.
3. KUK, A. Y. C. & NOTT, D. J. (2000). A pairwise likelihood approach to analyzing correlated binary data. Statist. Prob. Lett. 47, 329-35.
4. LIANG, K. Y. & ZEGER, S. L. (1986). Longitudinal data analysis using generalized linear models. Biometrika 73, 13-22.
5. LIANG, K. Y., ZEGER, S. L. & QAQISH, B. (1992). Multivariate regression analyses for categorical data (with Discussion). J. R. Statist. Soc. B 45, 3-40.
6. LIPSITZ, S. R. & FITZMAURICE, G. M. (1996). Estimating equations for measures of association between repeated binary responses. Biometrics 52, 903-12.
7. ZHAO, L. P. & PRENTICE, R. L. (1990). Correlated binary regression using a quadratic exponential model. Biometrika 77, 642-8.