Introduction to Medical Software - 9.6 | What is Statistical Significance? Clinical Trials Explained - Medical Software Course

Have you ever wondered what 'statistically significant' truly means in a clinical trial? In this lesson, we demystify this critical concept, differentiating it from real-world clinical importance. We'll explore the foundational mathematical techniques useful for designing and interpreting clinical trials, including the process of hypothesis testing, the role of p-values, the t-test, and how sample size influences our conclusions. We'll also examine the historical context of the p 0.05 threshold. Our goal is for you to confidently understand the vocabulary and methods behind these crucial statistical analyses. 🎯 Learning Objectives • Distinguish between real and statistical significance in clinical trials • Understand the core principles of hypothesis testing, including the null hypothesis • Explain how p-values are calculated and interpreted to determine statistical significance • Describe the components and application of an unpaired T-test • Recognize the impact of sample size on statistical significance and trial power