Bias, confounding, and random variation/chance are the reasons for a non-causal association between an exposure and outcome. This chapter will define and discuss these concepts so that they may be appropriately considered whenever one is interpreting the data from a study. Several types of common bias will be discussed (e.g. measurement bias, sampling bias, etc.) and effect modification (interaction) will be explained.
CITATION STYLE
Glasser, S. P. (2014). Bias, confounding, and effect modification (interaction). In Essentials of Clinical Research, Second Edition (pp. 363–372). Springer International Publishing. https://doi.org/10.1007/978-3-319-05470-4_17
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