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ORIGINAL ARTICLE
Year : 2014  |  Volume : 2  |  Issue : 3  |  Page : 100-104

Understanding the process of statistical methods for effective data analysis


Department of Medical Education, College of Medicine, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia

Correspondence Address:
Aamir Omair
Department of Medical Education, College of Medicine, King Saud bin Abdulaziz University for Health Sciences, Riyadh
Saudi Arabia
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DOI: 10.4103/1658-600X.137882

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The purpose of this article is to provide a basic understanding of the statistical methods for conducting effective data analysis. Quantitative research involves the collection and analysis of different types of variable in the form of raw data, which needs to be cleaned before starting the data analysis. A biostatistician must be involved from the planning stages of the research process to ensure the validity of the sampling process and the collected data. The statistical analysis includes descriptive analysis for summarizing the data and inferential statistics for comparing between the subgroups to determine a statistically significant association. The relevant statistical tests must be applied and the results appropriately reported using P-values and confidence intervals. The possibility of type I and type II errors should be considered during the final interpretation of the results as well as the clinical significance of the results even if the P-values are found to be statistically significant.


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