In human neuroimaging, the intra-class effect decomposition (ICED) framework indexes overall reliability, and enables researchers to identify and quantify multi-source contributions to measurement error with the goal of developing more reliable measures.
Research in molecular ecology and evolution is increasingly utilizing the model plant Arabidopsis thaliana, placing a spotlight on its natural history.
Publication bias, in which positive results are preferentially reported by authors and published by journals, can restrict the visibility of evidence against false claims and allow such claims to be canonized inappropriately as facts.
Analysis of data on drug-gene interactions suggests that decentralized collaboration will increase the robustness of scientific findings in biomedical research.
A simulation study is used to demonstrate how mistakes in identifying the experimental unit and the unit of analysis can lead to incorrect analyses and inappropriate inferences when reporting research studies.
