Regression Models for a Bivariate Discrete and Continuous Outcome with Clustering

References

• Catalano , P. J. and Ryan , L. M. 1992 . “Bivariate Latent Variable Models for Clustered Discrete and Continuous Outcomes,” . Journal of the American Statistical Association , 87 : 651 – 658 .
   Web of Science ®Google Scholar
• Cleveland , W. S. 1979 . “Robust Locally Weighted Regression and Smoothing Scatterplots,” . Journal of the American Statistical Association , 74 : 829 – 836 .
   Web of Science ®Google Scholar
• Cox , D. R. 1972 . “The Analysis of Multivariate Binary Data,” . Applied Statistics , 21 : 113 – 120 .
   Web of Science ®Google Scholar
• Cox , D. R. and Reid , N. 1987 . “Parameter Orthogonality and Approximate Conditional Inference” . Journal of the Royal Statistical Society , 49 : 1 – 39 . (with discussion), Ser. B
   Google Scholar
• Cox , D. R. and Reid , N. 1989 . “On the Stability of Maximum Likelihood Estimators of Orthogonal Parameters,” . Canadian Journal of Statistics , 17 : 229 – 233 .
   Web of Science ®Google Scholar
• Cox , D. R. and Wermuth , N. 1992 . “Response Models for Mixed Binary and Quantitative Variables,” . Biometrika , 79 : 441 – 461 .
   Web of Science ®Google Scholar
• Huber , P. J. “The Behavior of Maximum Likelihood Estimates Under Nonstandard Conditions,” . Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability . Vol. 1 , pp. 221 – 233 . Berkeley : University of California Press .
   Google Scholar
• Laird , N. M. 1995 . “Longitudinal Panel Data: An Overview of Current Methodology,” . In Likelihood, Time Series With Econometric and Other Applications , Edited by: Cox , D. R. , Hinkley , D. V. and Barndorff-Nielsen , O. E. London : Chapman and Hall . to be published
   Google Scholar
• Lauritzen , S. L. and Wermuth , N. 1989 . “Graphical Models for Associations Between Variables, Some of Which are Qualitative and Some Quantitative,” . The Annals of Statistics , 17 : 31 – 57 . (correction in 17, 1916)
   Web of Science ®Google Scholar
• Liang , K. Y. and Zeger , S. L. 1986 . “Longitudinal Data Analysis Using Generalized Linear Models,” . Biometrika , 73 : 13 – 22 .
   Web of Science ®Google Scholar
• Liang , K. Y. , Zeger , S. L. and Qaqish , B. 1992 . “Multivariate Regression Analyses for Categorical Data” . Journal of the Royal Statistical Society , 54 : 3 – 40 . (with discussion), Ser. B
   Google Scholar
• Little , R. J. A. and Rubin , D. B. 1987 . Statistical Analysis With Missing Data , New York : John Wiley .
   Google Scholar
• Little , R. J. and Schluchter , M. D. 1985 . “Maximum Likelihood Estimation for Mixed Continuous and Categorical Data With Missing Values,” . Biometrika , 72 : 497 – 512 .
   Web of Science ®Google Scholar
• Olkin , I. and Tate , R. F. 1961 . “Multivariate Correlation Models With Mixed Discrete and Continuous Variables,” . Annals of Mathematical Statistics , 32 : 448 – 465 . (correction in 36, 343–344)
   Google Scholar
• Price , C. J. , Kimmel , C. A. , Tyl , R. W. and Marr , M. C. 1985 . “The Developmental Toxicity of Ethylene Glycol in Rats and Mice,” . Toxicology and Applied Pharmacology , 81 : 113 – 127 .
   PubMed Web of Science ®Google Scholar
• Royall , R. M. 1986 . “Model Robust Confidence Intervals Using Maximum Likelihood Estimators,” . International Statistical Review , 54 : 221 – 226 .
   Web of Science ®Google Scholar
• White , H. 1982 . “Maximum Likelihood Estimation of Misspecified Models,” . Econometrica , 50 : 1 – 26 .
   Web of Science ®Google Scholar
• Zeger , S. L. and Liang , K. Y. 1986 . “Longitudinal Data Analysis for Discrete and Continuous Outcomes,” . Biometrics , 42 : 121 – 130 .
   PubMed Web of Science ®Google Scholar
• Zhao , L. P. , Prentice , R. L. and Self , S. G. 1992 . “Multivariate Mean Parameter Estimation by Using a Partly Exponential Model,” . Journal of the Royal Statistical Society , 54 : 805 – 811 . Ser. B
   Google Scholar