Discover how sample size neglect impacts statistical conclusions and learn to avoid this cognitive bias studied by renowned experts like Tversky and Kahneman.

Abstract: For the reliability and general ability of the results of any epidemiological or medical research study, adequate number of study units is extremely important. Study of both less than needed ...

Randomized controlled trials (RCTs) are considered the gold standard for evaluating surgical interventions for benign prostatic hyperplasia (BPH). However, the validity and reliability of their ...

Modern computing needs electricity; that's common sense. But the more powerful and more numerous the computers, like in a massive server farm for cloud or remote computing, the more power is needed.

Equivalence tests often are used for demonstrating bioequivalence between two biopharmaceutical formulations, with the two one-sided test (TOST) being a common, regulator-accepted statistical method ...

Under the proposal, the mid-Atlantic grid would turn off power to data centers before ordering rolling blackouts in an emergency. The potential threat to grid reliability from supersize AI data ...

The FAA is seeking public comments on proposed guidance that would define sample sizes for parts manufacturer approval (PMA) applicants seeking certification for engine and auxiliary power unit (APU) ...

Meta is currently building out a data center, called Hyperion, which the company expects to supply its new AI lab with five gigawatts (GW) of computational power, CEO Mark Zuckerberg said in a Monday ...

Accurate sample size estimation is a cornerstone of successful Institutional Review Board (IRB) proposals, as it establishes the feasibility of clinical studies and ensures they are sufficiently ...

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