Books

• Rubin, D. B. (1987). Multiple imputation for nonresponse in surveys Wiley, New York.

• Little, R. J. A. & Rubin, D. B. (1987). Statistical Analysis with Missing Data, New York: Wiley.

Papers

• Baker, S. G. (1995). ``Marginal regression for repeated binary data with outcome subject to nonignorable nonresponse.'' Biometrics , Vol. 51, 1042-1052.

• Baker, S. G. & Laird, N. M. (1988). ``Regression analysis for categorical variables with outcomes subject to nonignorable nonresponse.'' Journal of the American Statistical Association, Vol. 83, 62-69.

• Diggle, P. & Kenward, M. G. (1994). ``Informative drop-out in longitudinal data analysis.'' Applied Statistics, Vol. 43, No. 1, 49-93.

• Fitzmaurice, G. M., Laird, N. M. and Zahner, G. E. (1996). ``Multivariate logistic models for incomplete binary responses.'' Journal of the American Statistical Association , Vol. 91, 99-108.

• Little, R. J. A. & Schluchter, M. D. (1985). `` Maximum likelihood estimation for mixed continuous and categorical data with missing values.'' Biometrika , Vol. 72, 497-512.

• Little, R. J. A. (1992). ``Regression with missing X's: a review.'' Journal of the American Statistical Association, Vol. 87, 1227-1237.

• Greenlees, J. S. , Reece, W. S. and Zieschang, K. D. (1982). ``Imputation of missing values when the probability of response depends on the variable being imputed.'' Journal of the American Statistical Association , Vol. 77, 251-261.

• Ibrahim, J. G. (1990). ``Incomplete data in generalized linear models.'' Journal of the American Statistical Association, Vol. 85, 765-769.

• Ibrahim, J. G. \& Weisberg, S. (1992). ``Incomplete data in generalized linear models with continuous covariates.'' Australian Journal of Statistics, Vol. 34, 461-470.