生物统计学在国内是近几年新兴的一个跨领域的学科，一般是设立在公共卫生学院下面，而开设公共卫生学院的高校也是十分有限的。各学校根据学校自己对学科的分析和对市场的把握设立自己的研究方向，因此也并不十分统一。
以南方医科大学为例，生物统计专业的主要研究方向有meta分析的相关方法学研究、量表研制与评价、生物统计方法学研究：诊断试验评价 ...
唐守正
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森林经理学家，中国科学院院士，中国林业科学研究院首席科学家 ，中国林业科学研究院资源信息研究所研究员、博士生导师、名誉所长。唐守正长期从事森林资源监测、森林资源管理和生物统计方面的研究。
Institutes :Chinese Academy of Forestry
唐希灿
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中国工程院院士，中国科学院上海药物研究所研究员、博士生导师。唐希灿从事的研究领域是立足于中国的植物资源，以及中医药在中国用于治病的长期积累经验记载，与植物化学家合作，发掘中草药内作用于神经系统的活性成分，将它们开发成药用于临床治病，并深入研究这些成分的作用机理。
Institutes :Peking University
林希虹
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生物统计学家，美国国家科学院院士，美国国家医学院院士，哈佛大学生物统计系终身正教授。林希虹从事高维数据分析、基因流行病学、基因和环境、人类遗传和蛋白质学的研究。
Institutes :Harvard University
方积乾
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1961年获复旦大学数学学士学位，1985年毕业于在加利福尼亚大学伯克利分校，获生物统计学博士。1985年在北京医科大学由讲师直接提升为教授。1991年至今，中山医科大学（现为中山大学）公共卫生学院教授、主任、博士导师。国际生物统计学会中国组负责人； 1993以来，任香港中文大学兼职教授。
Institutes :Sun Yat-sen University
凌莉
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1985年毕业于华西医科大学卫生系，获学士学位；分别于1988年和2001年获华西医科大学和中山医科大学卫生统计专业硕士和博士学位。 1988年至今：中山大学公共卫生学院医学统计与流行病学系任教，2004年被聘为教授，博士生导师。
Institutes :Sun Yat-sen University
孙振球
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大学本科毕业，博士生导师，流行病和卫生统计学，生物统计学教授，学术带头人。从事教学工作30余年，担任过五年制本科、七年制、八年制、硕士研究生、博士研究生以及医学成人教育各专业各层次的医学统计学、医学科研设计、流行病学、临床流行病学的教学任务。
周基元
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1996年毕业于国防科技大学数学系，获学士学位；2005年毕业于东南大学数学系，获硕士学位；2009年毕业于香港大学统计及精算学系，获博士学位。主要从事遗传疾病易感基因的定位、遗传印记效应的检测与卫生统计学方面的研究。
The course consists of nine chapters divided into three parts. The first part contains three chapters that provide some preliminary results on matrix theory and multivariate normal and related distributions. Various linear models are also introduced through real examples in this part. The second part consists of two chapters on statistical inference of linear models, including parameter estimation, hypotheses testing, confidence intervals, and prediction. In the third part, the methodologies are applied to various linear models, such as the linear regression model, the analysis of variance model, the analysis of covariance model, the variance components model, and the mixed effect model. The course will emphasize the statistical and geometric motivation for the methods, the practical application of the methods, the implementation by Statistical software, and the interpretation of the results.
This course focuses on standard nonparametric procedures useful for the analysis of experimental data. One-sample, two-sample, and multiple sample rank test and their power are covered. Goodness-of-fit tests, contingency table test are also covered. It also includes some modorn nonparametric techniques such as nonparametric distribution estimation, nonparametric regression, functional data analysises. Theories are are emphasized, such as U-statistics, power function, and asymptotic relative efficiency are introduced, but the applications are not completely neglected, some applications such as gene set enrichment analysis are also included.
Bioinformatics aims to develop methods and software for processing large amount of biological data, and it has become an important tool in many areas of biology. This course covers major topics of bioinformatics, which includes: Introduction to bioinformatics; Collection and storage of sequences; Sequence alignment; Sequence databases; Introduction to statistics and probability analysis; Recognition of sequence patterns; Molecular evolution and phylogenetic analysis; Genome analysis and gene prediction; RNA bioinformatics; (10) Protein structure analysis and prediction; (11) Microarray data analysis; (12) Biomolecular network. This course also provides hands-on practice on some software and databases of bioinformatics.
Epidemiology is the study and analysis of the patterns, causes, and effects of health and disease conditions in defined populations.
A science dealing with the collection,analysis,interpretation,and presentation of numerical data
Biostatistics (or biometry) is the application of statistics to a wide range of topics in biology. The science of biostatistics encompasses the design of biological experiments, especially in medicine, pharmacy, agriculture and fishery; the collection, summarization, and analysis of data from those experiments; and the interpretation of, and inference from, the results.
软件和编程
Spss,Sas,Stata
