BIOSTATISTICS: A FOUNDATION FOR ANALYSIS IN THE HEALTH SCIENCES
Keywords:
Biostatistics , Hypothesis Testing , Regression Analysis , Data Analysis , Public Health , Risk Assessment , Data Interpretation , Statistical Modeling , Health Sciences Research , Evidence-Based MedicineAbstract
Biostatistics plays a fundamental role in public health and medical research by providing the tools necessary for designing studies, analyzing data, and interpreting results. As a cornerstone for scientific inquiry in health sciences, biostatistics applies mathematical principles to biological experiments, clinical trials, epidemiology, and healthcare policy development. This article delves into the essential concepts of biostatistics, focusing on descriptive and inferential statistics, hypothesis testing, regression analysis, and the interpretation of complex datasets. It examines how biostatistics helps assess risk factors, identify trends, and make data-driven decisions that lead to improved health outcomes. By integrating real-world applications, this article demonstrates the critical importance of biostatistics in guiding evidence-based practices in healthcare and advancing medical knowledge.