Understanding p-Values in Risk Ratios
The p-value is an important statistic used in medical research that allows us to measure the likelihood of a particular result occurring. In medical research, it is often used to compare two groups of people: a control group and an experimental group. The p-value helps us to determine the statistical significance of the differences between the two groups. In this article, we will discuss the use of p-values in risk ratio and the interpretation of the results. A risk ratio (RR) is a measure of how likely an event is to happen given a certain set of conditions. In this case, the p-value is used to determine the likelihood that the differences between the two groups are not due to chance. In other words, the p-value helps us to determine whether the differences between the two groups are statistically significant. Looking at the given statements, it can be concluded that statement B has the highest p-value (1.20) and therefore is the most statistically significant. This means that the results of the study are more likely to be due to a real difference between the two groups rather than due to chance. On the other hand, statement C has the lowest p-value (0.98) and is therefore the least statistically significant. This means that the results of the study are likely to be due to chance rather than a real difference between the two groups. Cont….
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