What is a meta-analysis?
A plain-language tour of how meta-analyses pool evidence, why they sit at the top of the evidence hierarchy, and how they can still mislead.
How to read studies, weigh evidence, and avoid common misreadings of mental-health research. These pages translate research methodology into plain language for non-clinicians.
A plain-language tour of how meta-analyses pool evidence, why they sit at the top of the evidence hierarchy, and how they can still mislead.
Why an association between two variables doesn't, on its own, support a causal claim, with anxiety-specific examples.
Why a statistically significant finding can be clinically trivial, and the concepts that bridge the gap.
How differences in population, outcome measure, and follow-up window explain most apparent contradictions between studies on the same intervention.
Reproducibility, publication bias, and the difference between population-level findings and individual care.
A short checklist for triaging news coverage of anxiety and depression research.
A plain-language tour of the evidence hierarchy, from case reports to clinical practice guidelines.