Welcome to Intermediate Clinical Biostatistics, a course designed to bridge the gap between foundational statistical knowledge and its advanced application in medical research and clinical practice.
This course is tailored for healthcare professionals, clinical researchers, and students who are already familiar with basic statistical concepts and are ready to deepen their understanding. We move beyond simple calculations to focus on statistical reasoning, critical interpretation, and the practical application of methods directly to clinical datasets and research scenarios.
Throughout the eight modules, you will strengthen your foundational knowledge, explore the role of probability in diagnostic decision-making, and master the core inferential techniques that form the backbone of clinical literature. You will learn to construct and interpret confidence intervals, navigate hypothesis testing and its pitfalls, select the correct statistical tests for comparing groups, and build regression models to predict outcomes. The course culminates with an introduction to survival analysis, a key methodology for evaluating time-to-event outcomes like disease progression or mortality.
A key emphasis throughout is on interpretation and communication. You will learn not just how to perform an analysis, but how to translate the results into meaningful insights that can be understood by clinicians and inform patient care and medical decision-making.
By the end of this course, you will be equipped with the robust biostatistical skills necessary to critically appraise medical research, contribute meaningfully to evidence-based practice, and conduct analyses that can directly impact patient outcomes.
