Recently there has been a growing concern that many published research findings do not
hold up in attempts to replicate them. We argue that this problem may originate from a …

Publication bias is a substantial problem for the credibility of research in general and of meta-
analyses in particular, as it yields overestimated effects and may suggest the existence of …

Currently, numerous papers are published reporting analysis of biological data at different
omics levels by making statistical inferences. Of note, many studies, as those published in …

Background Since sequencing techniques have become less expensive, larger sample
sizes are applicable for microbiota studies. The aim of this study is to show how, and to what …

Efforts to improve the reproducibility and integrity of science are typically justified by a
narrative of crisis, according to which most published results are unreliable due to growing …

A focus on novel, confirmatory, and statistically significant results leads to substantial bias in
the scientific literature. One type of bias, known as “p-hacking,” occurs when researchers …

More than 50 years ago, John Tukey called for a reformation of academic statistics. In “The
Future of Data Analysis,” he pointed to the existence of an as-yet unrecognized science …

Importance The use and misuse ofPvalues has generated extensive debates. Objective To
evaluate in large scale thePvalues reported in the abstracts and full text of biomedical …

A recent study of the replicability of key psychological findings is a major contribution toward
understanding the human side of the scientific process. Despite the careful and nuanced …

Since the publication of the Wellcome Trust Case Control Consortium (WTCCC) landmark
study a decade ago, genome-wide association studies (GWAS) have led to the discovery of …