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VOL. 9, ISSUE 4 (2024)
Biostatistical methodologies in epidemiology: Importance, distinction and computation of relative risk and attributable risk
Authors
Tapan Kumar Mahato, Ankur Prafulbhai Patel, Saurabh Sharma, Rajendra Singh Kushwaha
Abstract

Biological and health-related fields including pharmacy, epidemiology and medicine, make use of biostatistics, a statistical tool.

The study of disease transmission, risk factors and the effectiveness of health promotion and disease prevention programs is known as epidemiology, a branch of public health. In epidemiology, metrics such as attributable risk, odds ratio and relative risk are used to assess associations. When studying the link between an exposure and an outcome, epidemiologists rely on two key metrics: relative risk and attributable risk. Attributable risk determines the level of danger connected with a specific exposure, whereas relative risk estimates the probability of illness development in an exposed group compared to an unexposed group. When dealing with numerical issues related to relative risk calculations in epidemiology, it is helpful to compare the risks between groups and see how much the result could be reduced by removing the exposure. Ultimately, epidemiology is essential for public health and evidence-based medicine because it helps to determine potential dangers, monitor the development of diseases, and create efficient countermeasures. The present article talks about biostatistics, epidemiology, relative risk and attributable risk, further numerical problems clarify the calculations and applications.
Pages:9-14
How to cite this article:
Tapan Kumar Mahato, Ankur Prafulbhai Patel, Saurabh Sharma, Rajendra Singh Kushwaha "Biostatistical methodologies in epidemiology: Importance, distinction and computation of relative risk and attributable risk". International Journal of Pharmaceutical Science and Research, Vol 9, Issue 4, 2024, Pages 9-14
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