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  • Causal Inference for Observational and Experimental Data
    Mark J. van der Laan; Sherri Rose
    978-1-4419-9782-1
    2011
    Edition 1
    • Establishes causal inference methodology that incorporates the benefits of machine learning with statistical inference
    • Presentation combines accessibility with the method's rigorous grounding in statistical theory
    • Demonstrates targeted learning in epidemiological, medical, and genomic experimental and observational studies that include informative dropout, missingness, time-dependent confounding, and case-control sampling
    • Includes supplementary material: sn.pub/extras

    €400

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