A better way to perform your statistics
When using EasyMedStat, all the calculations will be performed automatically including the p-value, the odds-ratio and its 95% confidence interval, if appropriate.
In addition to the automated calculations, you will be provided with two texts to insert directly into your article: one for the methods section and one for the results section describing exactly the result of your test and the statistical methods used.
EasyMedStat automatically checks that your data is appropriate for a Z-test. If not, it will perform a more appropriate test like Fisher’s exact test or a Chi-squared test.
It is a statistical test sometimes used in medical research. It compares two independent proportions. For example, suppose you want to test two different vaccines, A and B. Your primary judgment criterion will be the occurrence of the disease in the 6 months following the injection. The Z-test for proportion comparison allows you to test whether the proportions of the disease in groups A and B are different.
All these tests are used to compare proportions between independent groups. Fisher’s exact test and chi-squared tests are more frequently used in medical studies. However, their calculation methods are different. Fisher’s test and Chi-squared tests test the hypothesis that there is an association between the two variables to be tested, whereas the Z-test will only test if there is a difference between the two proportions. In most cases, Fisher’s test or a chi-squared test is preferred. However, when using EasyMedStat, the most appropriate test will automatically be chosen according to your data and your clinical question, so you do not have to worry if you can use this test or not. EasyMedStat does all the work for you.