Multilevel analysis quantifies variation in the experimental effect while optimizing power and preventing false positives

Research article (BMC Neuroscience, 2015) · cited 79× · AI/ML
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Multilevel analysis quantifies variation in the experimental effect while optimizing power and preventing false positives

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Multilevel analysis quantifies variation in the experimental effect while optimizing power and preventing false positives is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Multilevel analysis quantifies variation in the experimental effect while optimizing power and preventing false positives. Retrieved May 24, 2026, from https://4ort.xyz/entity/multilevel-analysis-quantifies-variation-in-the-experimental-effect-while-optimizing-power-and-preventing-false-positive
MLA “Multilevel analysis quantifies variation in the experimental effect while optimizing power and preventing false positives.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/multilevel-analysis-quantifies-variation-in-the-experimental-effect-while-optimizing-power-and-preventing-false-positive.
BibTeX @misc{4ortxyz_multilevel-analysis-quantifies-variation-in-the-experimental-effect-while-optimizing-power-and-preventing-false-positive_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Multilevel analysis quantifies variation in the experimental effect while optimizing power and preventing false positives}}, year = {2026}, url = {https://4ort.xyz/entity/multilevel-analysis-quantifies-variation-in-the-experimental-effect-while-optimizing-power-and-preventing-false-positive}, note = {Accessed: 2026-05-24}}
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