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ON BIAS IN ALCOHOL EPIDEMIOLOGY AND THE SEARCH FOR THE PERFECT STUDYBias in alcohol epidemiology is a serious issue and needs careful investigation. Nevertheless, epidemiological studies, in combination with experimental evidence, can contribute to a systematic evaluation of causal effects. Cause-specific rather than overall mortality should be the focus in order to separate detrimental and beneficial effects of alcohol consumption.In their paper in this issue, Naimi et al.[1] highlight the possibility for selection bias in alcohol epidemiology, although the biases described are not limited to the field of alcohol research [2,3].Investigations of potential bias are important in any scientific analysis to derive meaningful conclusions about the validity of the risk relations between exposures and disease outcomes. For long-term development of diseases and mortality, epidemiological studies are an important component when judging the evidence base. The risk of bias in any epidemiological (observational) study is a serious issue and every effort should be undertaken to avoid, reduce and investigate potential risk of bias. However, the conclusions in the paper by Naimi et al. about the direction and magnitude of potential biases are based upon many assumptions that need to be supported by empirical evidence. Although one can come up with an infinite number of possible biases, the impact of these biases is unclear. In particular, the combined impact of several simultaneous biases is impossible to predict without empirical evidence. Furthermore, one cannot derive meaningful conclusions by selectively excluding most of the evidence based on one or multiple (potential) biases, which has been done in several meta-analyses [4,5]. This is another form of selection bias. All the evidence needs be considered when trying to answer questions about causal effects of alcohol consumption.How can we minimize the risk of bias in alcohol epidemiology and thus contribute to a judgement on causality of alcohol's effect on the incidence of disease? To answer this question, it is imperative to look at cause-specific disease outcomes and not overall mortality, because we know that alcohol consumption has many differential biological effects on the human body. Although most effects are detrimental, there is no a priori reason why some of the effects could not be beneficial.Because epidemiology deals mainly with observational data it is an imperfect science, and in particular in alcohol epidemiology there is room for improvement. After several decades of traditional epidemiological alcohol research, it seems to be clear that knowledge on a beneficial versus a detrimental effect of low alcohol consumption on certain disease outcomes can only be advanced with improved methodological and analytical study quality. This is no easy task, and the paper by Naimi et al. underlines so...