Biostatistics
本课程是公共卫生专业的重要方法学基础课，系统介绍统计学在生物医学和公共卫生领域的应用。内容涵盖数据类型与描述性统计、概率分布、参数估计、假设检验（t检验、卡方检验、方差分析、非参数检验）、相关与回归分析、生存分析基础以及常用统计软件的操作。通过大量医学实例练习，培养学生运用统计方法分析公共卫生数据的能力。
This important methodological foundation course introduces statistical applications in biomedical and public health fields. Topics include data types and descriptive statistics, probability distributions, parameter estimation, hypothesis testing (t-test, chi-square, ANOVA, nonparametric tests), correlation and regression analysis, survival analysis basics, and common statistical software operations. Through extensive medical case practice, students develop skills in analyzing public health data using statistical methods.
学生需使用提供的糖尿病患者健康管理数据集，运用所学统计方法进行全面的数据分析。内容包括数据清洗与描述性统计、不同分组患者血糖指标的比较分析、影响因素的相关性与回归分析、结果的可视化呈现，最终撰写完整的数据分析报告并解释统计结果的公共卫生意义，培养数据处理和统计分析的综合能力。
Students use a provided diabetes patient health management dataset to conduct comprehensive data analysis using learned statistical methods. The assignment includes data cleaning and descriptive statistics, comparison of blood glucose indicators across patient groups, correlation and regression analysis of influencing factors, result visualization, and a complete data analysis report interpreting the public health significance of statistical findings.