Case-control studies are largely used to explore differences between groups
of individuals. They can identify potential risk factors associated with d
isease, or they can investigate patient behaviour, such as why some people
do not attend for services. As such, case-control studies are often used to
generate or test hypotheses about causal factors. Nonetheless, bias is alw
ays a danger in case-control studies, arising especially from the way in wh
ich study samples are selected or from the collection of retrospective data
. Confounding arise remains a problem. This short paper explores ways in wh
ich such flaws can be uncovered in published studies.