Referencias:

• BANG, H., ROBINS, J.M., Doubly robust estimation in missing data and causal inference models (2005) Biometrics, 61, pp. 962-972. , MR2216189
• ROBINS, J. M. (2000). Robust estimation in sequentially ignorable missing data and casual inference models. Proc. Amer. Statist. Assoc. Section on Bayesian Statistical Science 1999 6-10; ROBINS, J.M., Commentary on "Using inverse weighting and predictive inference to estimate the effects of time-varying treatments on the discrete-time hazard", by Dawson, and Lavori (2002) Statistics in Medicine, 21, pp. 1663-1680
• ROBINS, J. M. and ROTNITZKY, A. (2001). Comment on Inference for semiparametric models: Some questions and an answer, by P. J. Bickel and J. Kwon. Statist. Sinica 11 920-936. MR1867326; ROBINS, J.M., WANG, N., Inference for imputation estimators (2000) Biometrika, 87, pp. 113-124. , MR1766832
• ROBINS, J.M., ROTNITZKY, A., ZHAO, L.-P., Analysis of semiparametric regression models for repeated outcomes in the presence of missing data (1995) J. Amer. Statist. Assoc, 90, pp. 106-121. , MR1325118
• ROBINS, J.M., LI, L., TCHETGEN, F., VAN DER VAART, A.W., Higher order influence functions and minimax estimation of nonlinear functionals (2007) IMS Lecture Notes-Monograph Series Probability and Statistics Models: Essays in Honor of David A. Freedman, 2, pp. 335-421
• ROBINS, J.M., SUED, M., LEI-GOMEZ, Q., ROTNITZKY, A., Double-robustness with improved efficiency in missing and causal inference models (2007), Technical report, Harvard School of Public Health; ROSENBAUM, P. R. (2002). Observational Studies, 2nd ed. Springer, New York. MR1899138; SCHARFSTEIN, D.O., ROTNITZKY, A., ROBINS, J.M., Adjusting for nonignorable drop-out using semiparametric non-response models (with discussion) (1999) J. Amer. Statist. Assoc, 94, pp. 1096-1146. , MR1731478
• TAN, Z., A distributional approach for causal inference using propensity scores (2006) J. Amer. Statist. Assoc, 101, pp. 1619-1637. , MR2279484
• VAN DER LAAN, M. J. and ROBINS, J. M. (2003). Unified Methods for Censored Longitudinal Data and Causality. Springer, New York. MR1958123; VAN DER LAAN, M.J., RUBIN, D., (2006) Targeted maximum likelihood learning. U.C. Berkeley Division of Biostatistics Working Paper Series, , http://www.bepress.com/ucbbiostat/paper213, Available at
• VAN DER LAAN, M., (2005) Statistical inference for variable importance. U.C. Berkeley Division of Biostatistics Working Paper Series, , http://www.bepress.com/ucbbiostat/paper188, Available at
• WANG, Y., PETERSEN, M., BANGSBERG, D., VAN DER LAAN, M., (2006) Diagnosing bias in the inverse probability of treatment weighted estimator resulting from violation of experimental treatment assignment. U.C. Berkeley Division of Biostatistics Working Paper Series, , http://www.bepress.com/ucbbiostat/paper211, Available at

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