Causal Inference for Observational and Experimental Data
Targeted learning is a framework for causal and statistical inference methodology incorporating machine learning. This site contains research updates and resources.
The book Targeted Learning: Causal Inference for Observational and Experimental Data, by Mark J. van der Laan and Sherri Rose, was published in 2011. This text focuses largely on cross-sectional studies.
The second book by van der Laan and Rose, Targeted Learning in Data Science: Causal Inference for Complex Longitudinal Studies, will be published by Springer in March 2018. This sequel text covers the complicated research questions found in longitudinal and dependent data structures.