![]() Some measurement or classification errors are almost inevitable in epidemiological studies and they may affect the assessment of the exposure or the outcome, as well as potential confounders. 1 This is also important when carrying out surveys, which are addressed elsewhere in this section (see “ The design of documentation for recording survey data”). For example, the results may be influenced by the play of chance, because of the effects of random variation from sample to sample. However, a problem with drawing such an inference is that the errors in measured data may affect the results of an epidemiological study. ![]() We are currently in the process of updating this chapter and we appreciate your patience whilst this is being completed.Ī principal assumption in epidemiology is that we can draw an inference about the experience of the entire population based on the evaluation of a representative sample of the population.
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