A funnel plot displays study effect estimates against a measure of their precision, often standard error increasing down the vertical axis. Under a common-effect model, imprecise estimates spread more widely around the effect. Asymmetry is evidence of a small-study effect and can be consistent with publication bias, but it has other possible explanations.
A small-study effect is a systematic relationship between study precision or size and estimated effect. It may result from selective publication, design differences, effect modification or other heterogeneity. A regression of effect on its standard error tests one such relationship; it does not by itself determine which mechanism generated it.
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