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

Objectives To develop a sustainable and accessible educational programme on biopsychosocial female-specific topics, for young female athletes in organised sport, their parents and coaches for future ...

Objectives The objective of this study was to test whether an airtime reward increased tuberculosis (TB) Check screening uptake. This served as a feasibility study for the planned Phase 2, which aimed ...

Visual effects that demonstrate creative use of motion and design. Donald Trump announces major change for school cafeterias Greenland's only US military base is (quietly) getting a massive upgrade ...

Xiaomi is launching the 17 Ultra this week, and the company has also explained why the phone is arriving earlier than its predecessor. Now, we finally have a proper look at the device itself, thanks ...

James Ohlen joined Wizards of the Coast back in 2019 after a 22-year stint at BioWare to create a new IP for the Hasbro-owned tabletop gaming company. Six years later, after cofounding Archetype ...

The famous actress Mae West once described a curve as "the loveliest distance between two points." While she may have been discussing the human form, this observation goes beyond physical appearance ...

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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In the PeakVI differential accessibility analysis, the official documentation states that effect_size is calculated as est_prob1 - est_prob2 (where est_prob1 corresponds to the target group, e.g., ...