Clinical Research & Experimental Design.

Catalog description

Students examine a range of study designs, including observational (cohort, case-control) and interventional (randomized controlled trials), and learn how to select the most appropriate design based on specific research questions. Students apply key statistical concepts such as sample size calculation, power analysis, and data analysis techniques relevant to clinical trials. They investigate how artificial intelligence tools can enhance clinical research and experimental design. Ethical and regulatory considerations, including informed consent, participant safety, and data integrity are addressed. Through case studies, students analyze how experimental findings inform medical practice, health policy, and clinical guidelines, bridging the gap between scientific research and real-world healthcare implementation. Prerequisite: ABMS 5301 , ABMS 5302 , ABMS 5303 & ABMS 5304 .