Non-plug-in estimators could outperform plug-in estimators: a cautionary note and a diagnosis
Hongxiang Qiu · 2024 · Epidemiologic Methods
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract (excerpt)
Abstract Objectives Highly flexible nonparametric estimators have gained popularity in causal inference and epidemiology. Popular examples of such estimators include targeted maximum likelihood estimators (TMLE) and double machine learning…
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Metadata source: Crossref · DOI 10.1515/em-2024-0008