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

Objectives Maternal dietary practices are vital for improving maternal and neonatal outcomes. However, comprehensive information about optimal dietary practices among pregnant women is limited in ...

A relatively simple statistical analysis method can more accurately predict the risk of landslides caused by heavy rain, ...

This systematic review and meta-analysis identified prognostic factors associated with early mortality in septic shock. The identification of these prognostic factors could aid in clinical risk ...

Systematic sampling is straightforward and low risk, offering better control. However, it may introduce sampling errors and ...

We fully decrypted SearchGuard, the anti-bot system protecting Google Search. Here's exactly how Google tells humans and bots apart.

Abstract: The Linear Parameter Varying Dynamical System (LPV-DS) is an effective approach that learns stable, time-invariant motion policies using statistical modeling and semi-definite optimization ...

Background Overexpression of tear matrix metalloproteinases-9 (MMP-9) on the ocular surface tissues has been reported to result in ocular surface damage. MMP-9 levels in tears have been listed as one ...

Abstract: In this paper, we consider the topic of multiple-input multiple-output (MIMO) detection for coded systems. Tree search based detectors are well-behaved but have high complexity, while ...

Consider a population with ${N=250}$ and four strata with sizes $(N_{1},N_{2},N_{3},N_{4})=(50,30,100,70)$. Draw stratified random sample of size of ${n=25}$ with ...