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A paradigm shift away from null hypothesis significance testing seems in progress. Based on
simulations, we illustrate some of the underlying motivations. First, p‐values vary strongly …

Failures to replicate evidence of new discoveries have forced scientists to ask whether this
unreliability is due to suboptimal implementation of methods or whether presumptively …

Conversations about open science have reached the mainstream, yet many open science
practices such as data sharing remain uncommon. Our efforts towards openness therefore …

Untargeted metabolomics is an analytical approach with numerous applications serving as
an effective metabolic phenotyping platform to characterize small molecules within a …

The emergence of large-scale replication projects yielding successful rates substantially
lower than expected caused the behavioural, cognitive, and social sciences to experience a …

Power analysis currently dominates sample size determination for experiments, particularly
in grant and ethics applications. Yet, this focus could paradoxically result in suboptimal study …

Introduction To improve the rigor of science, experimental evidence for scientific claims
ideally needs to be replicated repeatedly with comparable analyses and new data to …

The lack of research reproducibility has caused growing concern across various scientific
fields [1–5]. Today, there is widespread agreement, within and outside academia, that …

Artificial intelligence (AI) techniques are increasingly applied across various domains,
favoured by the growing acquisition and public availability of large, complex datasets …