Adaptive cluster sampling is a probabilistic design tailored to populations that exhibit rare or spatially clustered features, such as endangered species, epidemic cases or hidden cultural artefacts.
Professor Yeonhee Park of the Department of Statistics at Sungkyunkwan University has developed a novel statistical framework — MARGO (Machine Learning-Assisted Adaptive Randomization for Group ...
Poly(ADP-ribose) Polymerase Inhibitor Combinations in First-Line Metastatic Castration-Resistant Prostate Cancer: Increasing Toxicity With Unclear Benefits In the article that accompanies this ...
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