Abstract
In the previous five chapters, we covered the targeted learning road map. This included presentation of the tools necessary to estimate causal effect parameters of a data-generating distribution. We illustrated these methods with a simple data structure: O = (W, A, Y) ∼ P0. Our target parameter for this example was ψ P0 = EW, 0[E0(Y | A = 1,W) - E0(Y | A = 0,W)],
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© 2011 Springer Science+Business Media, LLC
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Rose, S., van der Laan, M.J. (2011). Why TMLE?. In: Targeted Learning. Springer Series in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-9782-1_6
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DOI: https://doi.org/10.1007/978-1-4419-9782-1_6
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Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4419-9781-4
Online ISBN: 978-1-4419-9782-1
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