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Evaluating a Targeted Minimum Loss-Based Estimator for Capture-Recapture Analysis: an Application to HIV Surveillance in San Francisco, California.

AMERICAN JOURNAL OF EPIDEMIOLOGY(2024)

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bias,capture-recapture method,hidden populations,human immunodeficiency virus,machine learning,prevalence estimation,SuperLearner,targeted minimum loss-based estimation
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