![]() ![]() The problem is how to judge the evidence in various published studies and decide whether it justifies changing the existing treatment for a new one. Even patients in the Internet era are aware of current research. In recent years, the amount of available information in medical literature has increased rapidly, and as more studies are performed, the results have become more easily accessible. ![]() It is recommended that researchers report both a relative and an absolute measure and present these with appropriate confidence intervals. Furthermore, it is shown that different measures result in different impressions. Some pairs of measures present equivalent information. ![]() The purpose of this paper is to illustrate, using examples, how each measure is used, what it means, and what are its advantages and disadvantages. The question faced by the practitioner is then: Which one will help me in choosing the best treatment for my patient? Methods: For example, when the end point is binary, such as disease versus no disease, the common measures are odds ratios, relative risk, relative risk reduction, absolute risk reduction, and the number needed to treat. Each researcher provides a different method for comparing treatments. Statistical analyses of data and making sense of medical data have received much attention in the medical literature, but nevertheless have caused confusion among practitioners. ![]()
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