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.
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