References
- Amari, S. I. (1982). Differential geometry of curved exponential families- curvatures and information loss. Annals of Statistics, 10, 357–85.
- Amari, S. I. (1985). Differential geometry in statistics. New York, NY: Springer Verlag.
- Bonney, G. E., & Kissling, G. E. (1986). Gram--Schmidt orthogonalization of multinormal variates: Applications in genetics. Biometrical Journal, 28, 417–425.
- Bonney, G. E. (1995). Some new results on regressive models in family studies. Proceedings of the Biometrics Section, American Statistical Association, 177–182.
- Bonney, G. E. (1998a). Regression analysis of disposition to correlated binary outcomes (Scientific Report). Philadelphia, PA: Fox Chase Cancer Center.
- Bonney, G. E. (1998b). Regression analysis of disposition to correlated binary outcomes. Unpublished Manuscript.
- Bonney, G. E., Kwagyan, J., & Apprey, V. (1997). MULTIMAX-A computer package for MULTI-objective MAXimization with applications in genetics and epidemiology. The American Journal of Human Genetics, 61, 447.
- Bonney, G. E., Kwagyan, J., Slater, E., & Slifker, M. (1997). CORRDAT-A computer package for CORRelated DATa. The American Journal of Human Genetics, 61, A194.
- Cox, D. R., & Reid, N. (1987). Parameter orthogonality and approximate conditional inference. Journal of the Royal Statistical Society: Series B, 49, 1–39.
- Cox, D. R., & Reid, N. (1989). On the stability of maximum likelihood estimators of orthogonal parameters. Canada Journal of Statistics, 17, 229–233.
- Clayton, D. G. (1971). Gram-Schmidt orthogonalization. Journal of the Royal Statistical Society: Series C (Applied Statistics), 20, 335–338.
- Godambe, V. P. (1991). Orthogonality of estimating functions and nuisance parameters. Biometrika, 78, 143–151.
- Godambe, V. P., & Thompson, M. E. (1989). An extension of quasi-likelihood estimation (with discussion). Journal of Statistical Planning and Inference, 22, 137–72.
- Hills, S. E. (1987). Parameter orthogonality and approximate conditional inference [Discussion]. Journal of the Royal Statistical Society: Series B, 49, 1–39.
- Hurlimann, W. (1992). On parameter orthogonality of the mean. Statistical Papers, 33, 69–74.
- Kalbliesch, J. D., & Sprott, D. A. (1970). Application of likelihood methods to models involving large number of parameters. Journal of the Royal Statistical Society. Series B (Methodological), 32, 175–208.
- Kwagyan, J. (2001). Further Investigation of the disposition Model for correlated binary outcomes ( PhD Thesis). Philadelphia, PA: Department of Statistics, Temple University.
- Kwagyan, J., Apprey, V., & Bonney, G. E. (2001). Parameter orthogonalization in genetic analysis. Genetic Epidemiology, 21, 163 IGES 059.
- Liang, K. Y., & Zeger, S. L. (1986). Longitudinal data analysis using generalized linear models. Biometrika, 73, 13–22.
- Prentice, R. L. (1988). Correlated binary regression with covariates specific to each binary observation. Biometrics, 44, 1088–1048.
- Ross, G. J. S. (1970). The efficient use of function minimization in non-linear maximum-likelihood estimation. Applied Statistics, 19, 205–221.
- Willmot, G. E. (1988). Parameter orthogonality for a family of discrete distributions. The Journal of the Acoustical Society of America, 83, 517–521.