In response to questions regarding the scientific basis for mindfulness-based interventions
(MBIs), we evaluated their empirical status by systematically reviewing meta-analyses of …

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 …

Background Most meta-analyses in systematic reviews, including Cochrane ones, do not
have sufficient statistical power to detect or refute even large intervention effects. This is why …

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 …

We investigate two critical dimensions of the credibility of empirical economics research:
statistical power and bias. We survey 159 empirical economics literatures that draw upon …

A study with low statistical power has a reduced chance of detecting a true effect, but it is
less well appreciated that low power also reduces the likelihood that a statistically significant …

Correctable weaknesses in the design, conduct, and analysis of biomedical and public
health research studies can produce misleading results and waste valuable resources …

The increase in annual global investment in biomedical research—reaching US $240 billion
in 2010—has resulted in important health dividends for patients and the public. However …

Objective To determine the comparative effectiveness of exercise versus drug interventions
on mortality outcomes. Design Metaepidemiological study. Eligibility criteria Meta-analyses …

Systematic reviews and meta-analyses rank the highest in the evidence hierarchy. However,
they still have the risk of spurious results because they include too few studies and …