Applied Logistic Regression, 3rd Edition

References

Agresti, A. (2002). Categorical Data Analysis, Second Edition, Wiley Inc., New York.

Agresti, A. (2010). Analysis of Ordinal Categorical Data, Second Edition, Wiley Inc., New York.

Agresti, A., Booth, J. G., Hobert, J. P., and Caffo, B. (2000). Random effects modeling of categorical response data. Sociological Methodology, 30, 27–80.

Agresti, A., and Hitchcock, D. (2005). Bayesian inference for categorical data analysis. Statistical Methods & Applications, 14, 297–330.

Akaike, H. (1974). A new look at the statistical model identification. IEEE Transactions on Automatic Control, 19, 716–723.

Ake, C. (2001). Rounding after Multiple Imputation with Non-Binary Categorical Covariates, Paper presented at the annual meeting of the SAS Users Group International, Philadelphia, PA.

Ake, C. (2005). Rounding after multiple imputation with non-binary categorical covariates. Paper presented at the annual meeting of the SAS Users Group International, Philadelphia, PA.

Albert, A., and Anderson, J. A. (1984). On the existence of maximum likelihood estimates in logistic models. Biometrika, 71, 1–10.

Albert, J. (2009). Bayesian Computation with R, Second Edition, Springer, Dordrecht.

Albert, J., and Chib, S. (1993). Bayesian analysis of binary and polychotomous response data. Journal of the American Statistical Association, 88, 669–679.

Albert, J., and Chib, S. (1995). Bayesian residual analysis for binary response regression models. Biometrika, 82, 747–769.

Allison, P. (2001). Missing ...