Evidence Based Practice modules-Applications of Statistical Tests in Hand Surgery

Applications of Statistical Tests in Hand Surgery

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This article discusses the applications of statistical tests in hand surgery research. Statistics has become an important field in medical research for interpreting and presenting data. Having a basic understanding of statistics is crucial for evaluating the validity of published literature and applying it to patient care. The article discusses basic statistical tests such as the Student's t-test, Wilcoxon rank-sum and signed-rank tests, Pearson correlation coefficient, Pearson chi-square test of independence, and Fisher's exact test. It also emphasizes the importance of formulating testable hypotheses and understanding the type of data being analyzed. The article concludes by highlighting the need for statistical literacy in interpreting research findings and practicing evidence-based medicine.

Keywords

statistical tests

hand surgery research

medical research

interpreting data

validity of literature

patient care

testable hypotheses

type of data

statistical literacy

evidence-based medicine