Fundamentals of Biostatistics

作为生物统计领域的经典教材，本书最大的特点在于用大量完整的医学研究实例，把抽象的统计方法逐一讲透。读者普遍反馈它"实用、易懂、有系统"，从数据中心化量度到各类推断方法，覆盖面广且讲解清晰，适合系统打基础。不过也有读者直言它"废话多、页数多、例子多、难度低"，这意味着它更侧重循序渐进的引导，而非紧凑的结论堆砌。因此它特别适合医学、公卫相关专业需要扎实掌握统计工具的人，或希望跟着真实病例一步步练习的初学者；若你追求精炼高信息量，可能需要调整预期。总体而言，这是一本以"通过完整例题真正会用统计"为核心价值的入门级权威读物。

Bernard Rosner Professor in the Department of Biostatistics Department of Biostatistics Channing Laboratory 180 Longwood Avenue Boston, Massachusetts 02115 Phone: 617.525.3689 [email protected] Other Affiliations Professor of Medicine (Biostatistics), HMS Research Dr. Rosner's research activities are focused on several areas currently including (a) longitudinal data analysis, (b) analysis of clustered continuous, binary and ordinal data, and (c) methods for the adjustment of regression models for measurement error. Dr. Rosner's work on longitudinal data analysis has involved comparative analyses of several longitudinal data models on the same datasets involving serial measurements of blood pressure and pulmonary function over a 20-30 year period. These analyses are important since they enable one to predict future blood pressure levels based on current levels, which is important for screening purposes. Dr. Rosner's work on the analysis of clustered binary data has involved analyses of opthalmologic and otolaryngologic data where clustered data are the rule rather than the exception. Clustered data also appear frequently in coronary regression studies where multiple diseased arteries are sampled from the same subject at different points in time. His work on measurement error methods has been applied mainly in nutritional epidemiology where dietary exposures are measured with error and one wants to assess the relationship between cancer and cardiovascular disease outcomes and nutrient intake, while adjusting for measurement error. Education Ph.D., 1971, Harvard University