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Unit 8 Real Life Example of ANOVA

Unit 8 Real Life Example of ANOVA

Unit 8 Real Life Example of ANOVA

The analysis of variance (ANOVA) applies as a statistical technique used to test the variations between two or more means in a study to derive a conclusion. Ideally, it is a vital tool for research in various fields; most importantly it has been applied in medical field to evaluate how medication affect different population based on gender and other diversity variables.

One real-life example of the use of ANOVA includes a study by Manni et al. (2017) which focused on comparing gender differences regarding safety issues on Fingolimond therapy. The group used ANOVA to analyze the means of age, gender, and relapse rate differences. This approach included practical follow-up and evaluation of different characteristics of individuals in response to the medical intervention to see how their means vary from each. Ideally, they used this method because it is one of the best strategies to analyze means for two or more variables at a go. Also, the approach can help other researcher to recommend on the best ways to utilize qualitative and quantitative data for effective decision-making in the field of medicine.

Elements such as first dose, overall safety, gender response variations, and age differences among other factors were evaluated to document medical statistics record. According to Kucuk et al. (2016), ANOVA provides a strategic technique in understanding how different variables portray certain behavior in comparison to other concern. This technique is crucial in medical studies, enabling researchers to establish correlational data findings about specific diseases. This case study established that analyzing real-life health issues may be cumbersome without the help of analytical tools like ANOVA. Accordingly, the researchers focused on safety and tolerability of a cohort sample to determine gender and age affect response to therapeutic processes.

References

Kucuk, U., Eyuboglu, M., Kucuk, H. O., & Degirmencioglu, G. (2016). Importance of using proper post hoc test with ANOVA. International journal of cardiology209, 346

Manni, A., Direnzo, V., Iaffaldano, A., Di Lecce, V., Tortorella, C., Zoccolella, S.,  & Paolicelli, D. (2017). Gender differences in safety issues during Fingolimod therapy: Evidence from a real‐life Relapsing Multiple Sclerosis cohort. Brain and behavior7(10), e00804

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