On the effect of the number of quadrature points in a logistic random-effects model: An example

Journal of the Royal Statistical Society. Series C: Applied Statistics

Volumn 50, Issue 3, 2001, Pages 325-335

  Lesaffre, Emmanuel ^a   Spiessens, Bart ^b  

^a UNIVERSITY OF LEUVEN   (Belgium)

^b NONE

Author keywords

Clinical trials; Gaussian quadrature; Generalized linear mixed model; Logistic random effects model; Longitudinal data

Indexed keywords

EID: 0035648391     PISSN: 00359254     EISSN: None     Source Type: Journal    
DOI: 10.1111/1467-9876.00237     Document Type: Article

References (16)

1. Breslow, N. E. and Clayton, D. G. (1993) Approximate inference in generalized linear mixed models. J. Am. Statist. Ass., 88, 9-25.
2. Cytel Software Corporation (1995) EGRET. Cambridge: Cytel Software Corporation.
3. De Backer, M., De Vroey, C., Lesaffre, E., Scheys, I. and De Keyser, P. (1998) Twelve weeks of continuous onychomycosis caused by dermatophytes: a double blind comparative trial of terbafine 250 mg/day versus itraconazole 200 mg/day. J. Am. Acad. Derm., 38, S57-S63.
4. Diggle, P., Liang, K.-Y. and Zeger, S. L. (1994) Analysis of Longitudinal Data. Oxford: Clarendon.
5. Hedeker, D. and Gibbons, R. D. (1994) A random-effects ordinal regression model for multilevel analysis. Biometrics, 50, 933-944.
6. -(1996) MIXOR: a computer program for mixed-effects ordinal regression analysis. Comput. Meth. Programs Biomed., 49, 157-176.
7. Liang, K.-Y. and Zeger, S. L. (1986) Longitudinal data analysis using generalized linear models. Biometrika, 73, 13-22.
8. Liu, Q. and Pierce, D. A. (1994) A note on Gauss-Hermite quadrature. Biometrika, 81, 624-629.
9. Longford, N. T. (1993) Random Coefficient Models. Oxford: Oxford University Press.
10. Neuhaus, J. M., Hauck, W. W. and Kalbfleisch, J. D. (1992) The effects of mixture distribution specification when fitting mixed-effects logistic models. Biometrika, 79, 755-762.
11. Pinheiro, J. C. and Bates, D. M. (1995) Approximations to the log-likelihood function in the non-linear mixed-effects model. J. Comput. Graph. Statist., 4, 12-35.
12. SAS Institute (1996) The SAS System for Windows, Release V6.12. Cary: SAS Institute.
13. -(1999) The SAS System for Windows, Release V8.0. Cary: SAS Institute.
14. Schall, R. (1991) Estimation in generalized linear models with random-effects. Biometrika, 78, 719-727.
15. Wolfinger, R. W. (1993) Laplace's approximation for nonlinear mixed models. Biometrika, 80, 791-795.
16. -(1998) Towards practical application of generalized linear mixed models. In Proc. 13th Int. Wrkshp Statistical Modelling, New Orleans (eds B. Marx and H. Friedl), pp. 388-395.