For real-valued parameters, significance tests can be motivated as three-decision methods,
in which we either assert the sign of the parameter above or below a specified null value, or …

While the common procedure of statistical significance testing and its accompanying
concept of p-values have long been surrounded by controversy, renewed concern has been …

The statistical significance of a clinical trial analysis result is determined by a mathematical
calculation and probability based on null hypothesis significance testing. However, statistical …

In management research, fixed alpha levels in statistical testing are ubiquitous. However, in
highly powered studies, they can lead to Lindley's paradox, a situation where the null …

How should journal editors react to heated disagreements about statistical significance tests
in applied fields, such as conservation science, where statistical inferences often are the …

The p-value is at the heart of statistical significance tests, a very important issue related to
the role of statistical inference in advancing scientific discovery. Over the past few decades …

We present three studies assessing the efficacy and non-target impacts of multiple
unregistered forms of hydrogel ant baits, as well as some co-use with the granular bait …

It is generally accepted that one of the main causes of the replication crisis in scientific
research is some of the most commonly used statistical methods, such as null hypothesis …

We discuss systematically two versions of confidence regions: those based on p-values and
those based on e-values, a recent alternative to p-values. Both versions can be applied to …

In a celebrated 1996 article, Schervish showed that, for testing interval null hypotheses, tests
typically viewed as optimal can be logically incoherent. Specifically, one may fail to reject a …