reply to this post Fisher's approach, which emphasizes the use of p-values, can be valuable for conducting an initial screening of potential associations or relationships within public health data. For instance, researchers can utilize significance testing to swiftly pinpoint variables that warrant further investigation. Once potential associations or hypotheses have been identified through Fisher's tests, Neyman-Pearson hypothesis testing can offer a more robust framework for confirmatory analysis. Researchers can articulate precise hypotheses, establish decision criteria based on error probabilities, and assess the strength of evidence