Discover how sample size neglect impacts statistical conclusions and learn to avoid this cognitive bias studied by renowned experts like Tversky and Kahneman.
A relatively simple statistical analysis method can more accurately predict the risk of landslides caused by heavy rain, ...
Systematic sampling is straightforward and low risk, offering better control. However, it may introduce sampling errors and ...
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 ...
Innovative statistical method helps determine ideal threshold times in restricted mean survival time analyses. The restricted mean survival time (RMST) analysis technique was introduced in health care ...
Objectives Adverse lifestyle promotes escalating excess gestational weight gain (GWG) driving poor maternal and neonatal health outcomes. Recommended pregnancy lifestyle interventions rely on accurate ...
Structural equation modeling (SEM) is a widely used statistical method in social science. However, many published articles employing SEM appear to contradict its underlying principles and assumptions, ...
Abstract: Assumptions play a pivotal role in the selection and efficacy of statistical models, as unmet assumptions can lead to flawed conclusions and impact decision-making. In both traditional ...
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