There is increasing concern that most current published research findings are false. The
probability that a research claim is true may depend on study power and bias, the number of …

TA fiasco in the making? As the coronavirus pandemic takes hold, we are making decisions
without reliable data By John PA Ioa Page 1 5/25/2020 In the coronavirus pandemic, we're …

Newly discovered true (non-null) associations often have inflated effects compared with the
true effect sizes. I discuss here the main reasons for this inflation. First, theoretical …

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

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 …

The final common pathway for most systematic reviews is a statistical summary of the data,
or meta-analysis. The complex methods used in meta-analyses should always be …

ContextControversy and uncertainty ensue when the results of clinical research on the
effectiveness of interventions are subsequently contradicted. Controversies are most prominent …

The evolving coronavirus disease 2019 (COVID-19) pandemic1 is certainly cause for concern.
Proper communication and optimal decision-making are an ongoing challenge, as data …

Funnel plots, and tests for funnel plot asymmetry, have been widely used to examine bias in
the results of meta-analyses. Funnel plot asymmetry should not be equated with publication …

Systematic reviews and meta-analyses are essential to summarize evidence relating to
efficacy and safety of health care interventions accurately and reliably. The clarity and …