Construct · 1 fields · 1 citations

targeted maximum likelihood estimation: a standalone construct

One name. One construct. A landmark on the map.

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Causal inference

a two-step estimator that fits flexible models then updates them to target a causal parameter with valid inference.

In causal inference, targeted maximum likelihood estimation refers to a two-step estimator that fits flexible models then updates them to target a causal parameter with valid inference. This meaning comes from van der Laan (2006) in The International Journal of Biostatistics.[1]

Unit
Recovery means
Measured by

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Nearby constructs

causation6 fields · 15 citationsjingle · one name, six constructs estimation3 fields · 3 citationsjingle · one word, three constructs estimator2 fields · 2 citationsjingle · one word, two constructs

References

van der Laan, M. J., & Rubin, D. (2006). Targeted Maximum Likelihood Learning. The International Journal of Biostatistics, 2(1). https://doi.org/10.2202/1557-4679.1043

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