What You'll Master

• Understanding Research Papers: Learn to quickly and effectively read and appraise a research article. We'll demystify common terms like p-values, confidence intervals, relative risk, and number needed to treat (NNT), so you can understand what the numbers actually mean for your patients.
• Applying Evidence to Practice: Move from theory to application. This section shows you how to use statistical findings to inform your clinical choices—from prescribing new drugs to adopting new screening protocols.
• Recognizing Bias and Flaws: Develop a critical eye for common pitfalls in medical research. You'll learn to spot study biases, inappropriate statistical methods, and misleading conclusions that can impact patient care.
• Interpreting Diagnostic Tests: Get a firm grasp on key concepts like sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV). This is crucial for understanding the real-world value of diagnostic tests, like new rapid strep tests or screening mammograms.