Objective: Publication bias threatens the validity of published research, a
lthough this topic has received little attention in psychiatry. The purpose
of this article is to produce a systematic overview of the causes and cons
equences of publication bias and to summarize the available methods with wh
ich it is detected and corrected.
Method: Empirical evidence for the existence of publication bias is reviewe
d and the following methods are applied to an illustrative case example fro
m psychiatry: funnel plot analysis; the 'file drawer method'; linear regres
sion techniques; rank correlation; 'trim and fill'.
Results: Small studies are particularly susceptible to publication and rela
ted bias. All methods to detect publication bias depend upon the availabili
ty of a number of individual studies with a range of sample sizes. Unfortun
ately, large numbers of studies of varying sample size are not always avail
able in many areas of psychiatric research.
Conclusion: Where possible researchers should always test for the presence
of publication bias. The problem of publication bias will not be solved by
anything other than a prospective trials register.