مقدمة الإحصاء الحيوية

Introduction to Biostatistics BS 101 4 This course offers a comprehensive introduction to the foundational principles and methods of statistics as applied to medical research. Students will develop a clear understanding of how statistical analysis underpins decision-making in healthcare fields. The course integrates theoretical knowledge with practical skills through a blend of lectures and laboratory sessions.Key areas covered include the basics of data types, sources, and data collection methods, along with various sampling techniques, equipping students to effectively gather and manage medical data. Emphasis is placed on descriptive statistics, enabling learners to calculate and interpret measures of central tendency and dispersion, as well as visualize data using charts and tables.The curriculum delves into probability concepts and distributions, such as binomial, Poisson, and normal distributions, crucial for modeling and interpreting medical data. Students will learn to formulate and test hypotheses, perform confidence interval estimation, and compare group means through techniques like t-tests and ANOVA. Advanced topics include correlation and regression analysis, where students will examine relationships between variables and apply the method of least squares. The course also introduces the use of statistical software, such as SPSS or R, essential for conducting real-world data analysis tasks in medical research.
Through this course, students will be able to critically assess statistical findings and apply statistical methods in medical research, establishing a firm foundation for more advanced studies or professional practice in the healthcare arena.