11.07.2015 Views

2DkcTXceO

2DkcTXceO

2DkcTXceO

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

M. van der Laan 479Petersen, M. and van der Laan, M. (2012). A General Roadmap for theEstimation of Causal Effects. Division of Biostatistics, University of California,Berkeley, CA.Polley, E., Rose, S., and van der Laan, M. (2012). Super learning. In TargetedLearning: Causal Inference for Observational and Experimental Data (M.van der Laan and S. Rose, Eds.). Springer, New York.Robins, J. and Rotnitzky, A. (1992). Recovery of information and adjustmentfor dependent censoring using surrogate markers. In AIDS Epidemiology.Birkhäuser, Basel.Robins, J.M., Rotnitzky, A., and Scharfstein, D.O. (1999). Sensitivity analysisfor selection bias and unmeasured confounding in missing data andcausal inference models. In Statistical Models in Epidemiology, the Environmentand Clinical Trials. Springer,NewYork.Rosenblum, M. and van der Laan, M. (2011). Optimizing randomized trialdesigns to distinguish which subpopulations benefit from treatment.Biometrika, 98:845–860.Rotnitzky, A., Scharfstein, D.O., Su, T.-L., and Robins, J.M. (2001). Methodsfor conducting sensitivity analysis of trials with potentially nonignorablecompeting causes of censoring. Biometrics, 57:103–113.Scharfstein, D.O., Rotnitzky, A., and Robins, J.M. (1999). Adjusting for nonignorabledrop-out using semiparametric non-response models (with discussion).Journal of the American Statistical Association, 94:1096–1146.Starmans, R. (2012). Model, inference, and truth. In Targeted Learning:Causal Inference for Observational and Experimental Data (M. van derLaan and S. Rose, Eds.). Springer, New York.van der Laan, M. (1996). Efficient and Inefficient Estimation in SemiparametricModels. CentrumvoorWiskundeenInformaticaTract114,Amsterdam,The Netherlands.van der Laan, M. (2008). The Construction and Analysis of Adaptive GroupSequential Designs. Technical Report 232, Division of Biostatistics, Universityof California, Berkeley, CA.van der Laan, M. (2012). Statistical Inference when using Data AdaptiveEstimators of Nuisance Parameters. Technical Report 302, Division ofBiostatistics, University of California, Berkeley, CA.van der Laan, M., Balzer, L., and Petersen, M. (2012). Adaptive matchingin randomized trials and observational studies. Journal of StatisticalResearch, 46:113–156.

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!