Random Error and Systematic Error in Epidemiological Research: Analysis of Mortality and Tobacco Studies

Unit 6 Discussion 2

Random error and systematic error are the main types of errors in epidemiology. Random errors refer to incorrect outcomes due to chance. The error entails sources of variation that are likely to misrepresent the truth in either direction. The study precision is usually determined through random error. On the other hand, systematic error refers to incorrect result due to bias and involves the variation of sources that misrepresent the truth in a certain direction. The main sources of bias come from observers, instruments, or subjects within the epidemiological study.

The first article published in the American Journal of Public Health and was authored by Rossen & Schoendorf (2014). Through the article, the authors demonstrate systematic error because we can see that their mortality rates were inconsistent because many people were changing their racial affiliation. In this regard, there was inaccurate representation of the real mortality rates within the population.

The second article was authored by Francis et al. (2016) and reveals the random error in the results of the study. Through the theoretical arguments, we can see that they argue about the relationship between consumption of tobacco and certain diseases. Based on the statements or propositions made, we can say that epidemiology can only be associated with certain conditions. There is potential bias because of most of the professionals and practitioners are part of the tobacco industry

References

Rossen, L. M., & Schoendorf, K. C. (2014).