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1
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Doubly robust estimation in missing data and causal inference models
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3
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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
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ROBINS, J. M. (2002). 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. Statistics in Medicine 21 1663-1680.
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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
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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
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5
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Inference for imputation estimators
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ROBINS, J. M. and WANG, N. (2000). Inference for imputation estimators. Biometrika 87 113-124. MR1766832
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Analysis of semiparametric regression models for repeated outcomes in the presence of missing data
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ROBINS, J. M., ROTNITZKY, A. and ZHAO L.-P. (1995). Analysis of semiparametric regression models for repeated outcomes in the presence of missing data. J. Amer. Statist. Assoc. 90 106-121. MR1325118
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7
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Higher order influence functions and minimax estimation of nonlinear functionals
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ROBINS, J. M., LI, L., TCHETGEN, F. and VAN DER VAART, A. W. (2007). Higher order influence functions and minimax estimation of nonlinear functionals. In IMS Lecture Notes-Monograph Series Probability and Statistics Models: Essays in Honor of David A. Freedman 2 335-421.
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49749101498
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Double-robustness with improved efficiency in missing and causal inference models
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Technical report, Harvard School of Public Health
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ROBINS, J. M., SUED, M., LEI-GOMEZ, Q. and ROTNITZKY, A. (2007). Double-robustness with improved efficiency in missing and causal inference models. Technical report, Harvard School of Public Health.
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ROSENBAUM, P. R. (2002). Observational Studies, 2nd ed. Springer, New York. MR1899138
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ROSENBAUM, P. R. (2002). Observational Studies, 2nd ed. Springer, New York. MR1899138
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10
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Adjusting for nonignorable drop-out using semiparametric non-response models (with discussion)
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MR1731478
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SCHARFSTEIN, D. O., ROTNITZKY, A. and ROBINS, J. M. (1999). Adjusting for nonignorable drop-out using semiparametric non-response models (with discussion). J. Amer. Statist. Assoc. 94 1096-1146. MR1731478
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SCHARFSTEIN, D.O.1
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A distributional approach for causal inference using propensity scores
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TAN, Z. (2006). A distributional approach for causal inference using propensity scores. J. Amer. Statist. Assoc. 101 1619-1637. MR2279484
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VAN DER LAAN, M. J. and ROBINS, J. M. (2003). Unified Methods for Censored Longitudinal Data and Causality. Springer, New York. MR1958123
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VAN DER LAAN, M. J. and ROBINS, J. M. (2003). Unified Methods for Censored Longitudinal Data and Causality. Springer, New York. MR1958123
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15
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Available at
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WANG, Y., PETERSEN, M., BANGSBERG, D. and 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. Available at http://www.bepress.com/ucbbiostat/paper211/.
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WANG, Y.1
PETERSEN, M.2
BANGSBERG, D.3
VAN DER LAAN, M.4
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