P-value, short for ‘Probability-Value,’ serves as a crucial metric in hypothesis testing, primarily assessing the strength of evidence against the null hypothesis.
Let’s delve into an example:
Consider a randomized clinical trial focused on the primary outcome of body weight (reduction), in a parallel design. Two treatment groups are involved – Group A receiving a placebo, and Group B receiving Drug X.
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