Estimation and extrapolation of optimal treatment and testing strategies
暂无分享,去创建一个
[1] J. Robins,et al. Recovery of Information and Adjustment for Dependent Censoring Using Surrogate Markers , 1992 .
[2] J. Robins. Correcting for non-compliance in randomized trials using structural nested mean models , 1994 .
[3] J. Robins,et al. Adjusting for Nonignorable Drop-Out Using Semiparametric Nonresponse Models , 1999 .
[4] J. Robins,et al. Sensitivity Analysis for Selection bias and unmeasured Confounding in missing Data and Causal inference models , 2000 .
[5] James M. Robins,et al. Marginal Structural Models versus Structural nested Models as Tools for Causal inference , 2000 .
[6] Maria Deloria-Knoll,et al. Survival Benefit of Initiating Antiretroviral Therapy in HIV-Infected Persons in Different CD4+ Cell Strata , 2003, Annals of Internal Medicine.
[7] S. Murphy,et al. Optimal dynamic treatment regimes , 2003 .
[8] James M. Robins,et al. Optimal Structural Nested Models for Optimal Sequential Decisions , 2004 .
[9] F. Lert,et al. Predictors identified for losses to follow-up among HIV-seropositive patients. , 2006, Journal of clinical epidemiology.
[10] M. Petersen,et al. Diagnosing Bias in the Inverse Probability of Treatment Weighted Estimator Resulting from Violation of Experimental Treatment Assignment , 2006 .
[11] J. Robins,et al. Comparison of dynamic treatment regimes via inverse probability weighting. , 2006, Basic & clinical pharmacology & toxicology.
[12] M. J. Laan. Causal Effect Models for Intention to Treat and Realistic Individualized Treatment Rules , 2006 .
[13] Chunming ZhangFebruary. Discussion of the Paper by \adjusting for Non-ignorable Drop-out Using Semiparametric Non-response Models" , 2007 .
[14] Erica E M Moodie,et al. Demystifying Optimal Dynamic Treatment Regimes , 2007, Biometrics.
[15] J. Robins,et al. Comment: Performance of Double-Robust Estimators When “Inverse Probability” Weights Are Highly Variable , 2007, 0804.2965.