Targeted Learning: Causal Inference for Observational and Experimental Data von van der Laan, Mark J

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Personalized online ensemble machine learning with applications for dynamic data streams von Malenica, Ivana, Phillips, Rachael V., Chambaz, Antoine, Hubbard, Alan E., Pirracchio, Romain, Laan, Mark J.

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Parametric-Rate Inference for One-Sided Differentiable Parameters von Luedtke, Alexander R., Laan, Mark J. van der

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Scalable collaborative targeted learning for high-dimensional data von Ju, Cheng, Gruber, Susan, Lendle, Samuel D, Chambaz, Antoine, Franklin, Jessica M, Wyss, Richard, Schneeweiss, Sebastian, van der Laan, Mark J

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STATISTICAL INFERENCE FOR THE MEAN OUTCOME UNDER A POSSIBLY NON-UNIQUE OPTIMAL TREATMENT STRATEGY von Luedtke, Alexander R., van der Laan, Mark J.

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Causal Inference for Social Network Data von Ogburn, Elizabeth L., Sofrygin, Oleg, Díaz, Iván, van der Laan, Mark J.

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Measuring changes in transmission of neglected tropical diseases, malaria, and enteric pathogens from quantitative antibody levels von Arnold, Benjamin F, van der Laan, Mark J, Hubbard, Alan E, Steel, Cathy, Kubofcik, Joseph, Hamlin, Katy L, Moss, Delynn M, Nutman, Thomas B, Priest, Jeffrey W, Lammie, Patrick J

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Why Match? Investigating Matched Case-Control Study Designs with Causal Effect Estimation von Rose, Sherri, van der Laan, Mark J

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Online cross‐validation‐based ensemble learning von Benkeser, David, Ju, Cheng, Lendle, Sam, van der Laan, Mark

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Use of a machine learning framework to predict substance use disorder treatment success von Acion, Laura, Kelmansky, Diana, van der Laan, Mark, Sahker, Ethan, Jones, DeShauna, Arndt, Stephan

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One‐step targeted maximum likelihood estimation for time‐to‐event outcomes von Cai, Weixin, Laan, Mark J.

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Mortality prediction in intensive care units with the Super ICU Learner Algorithm (SICULA): a population-based study von Pirracchio, Romain, Dr, Petersen, Maya L, MD, Carone, Marco, PhD, Rigon, Matthieu Resche, MD, Chevret, Sylvie, Prof, van der Laan, Mark J, Prof

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Population intervention models in causal inference von Hubbard, Alan E., van der Laan, Mark J.

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Data-Adaptive Selection of the Propensity Score Truncation Level for Inverse-Probability–Weighted and Targeted Maximum Likelihood Estimators of Marginal Point Treatment Effects von Gruber, Susan, Phillips, Rachael V, Lee, Hana, van der Laan, Mark J

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Adaptive pre-specification in randomized trials with and without pair-matching von Balzer, Laura B., van der Laan, Mark J., Petersen, Maya L.

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Estimation of time‐specific intervention effects on continuously distributed time‐to‐event outcomes by targeted maximum likelihood estimation von Rytgaard, Helene C. W., Eriksson, Frank, van der Laan, Mark J.

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Diagnosing and responding to violations in the positivity assumption von Petersen, Maya L, Porter, Kristin E, Gruber, Susan, Wang, Yue, van der Laan, Mark J

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An omnibus non-parametric test of equality in distribution for unknown functions von Luedtke, Alex, Carone, Marco, van der Laan, Mark J.

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Defining and estimating effects in cluster randomized trials: A methods comparison von Benitez, Alejandra, Petersen, Maya L., der Laan, Mark J., Santos, Nicole, Butrick, Elizabeth, Walker, Dilys, Ghosh, Rakesh, Otieno, Phelgona, Waiswa, Peter, Balzer, Laura B.

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Nonparametric inverse‐probability‐weighted estimators based on the highly adaptive lasso von Ertefaie, Ashkan, Hejazi, Nima S., van der Laan, Mark J.

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