耶鲁大学生物统计硕士专业介绍

耶鲁大学生物统计硕士专业介绍：

生物统计学硕士是一个为期两年的项目。旨在培养学生，以满足managed care organizations,，medical research和pharmaceutical industry对具有数据分析技术技能的毕业生不断增长的需求。与MPH学位不同，MS学位更加强调培养学生对生物统计学技能的掌握。

耶鲁大学生物统计硕士专业课程设置：

该项目的学生要求完成15门必修和选修课程(不包括EPH 600a; the Seminar, BIS 525a and b; and the Summer Internship, BIS 695c)。掌握必修课程的学生可以将其替换为更高级的课程，但必须先获得DGS的书面许可，然后才能参加替代课程。

Required Courses

BIS 525a and b Seminar in Biostatistics and Journal Club

BIS 540a Fundamentals of Clinical Trials

BIS 623a Applied Regression Analysis

BIS 625b Categorical Data Analysis

BIS 628b Longitudinal and Multilevel Data Analysis

BIS 630b Applied Survival Analysis

BIS 678a Statistical Practice I

BIS 679a Advanced Statistical Programming in SAS and R

BIS 681b Statistical Practice II

BIS 695c Summer Internship in Biostatistical Research

EPH 508a Foundations of Epidemiology and Public Health

EPH 600a Research Ethics and Responsibility

S&DS 541a Probability Theory

S&DS 542b Theory of Statistics

此外，学生必须完成从以下列表中选择的两门生物统计学选修课程以及两门600 level的统计学和数据科学选修课。学生还需要参加Professional Skills Seminar(日期和时间将在秋季学期公布)。

BIS 557a Computational Statistics

BIS 567a Bayesian Statistics

BIS 643b Theory of Survival Analysis

BIS 646b Nonparametric Statistical Methods and Their Applications

BIS 651b Spatial Statistics in Public Health

BIS 691b Theory of Generalized Linear Models

耶鲁大学生物统计硕士专业职业发展：

Upon receiving an M.S. in the Biostatistics track of Public Health, the student will be able to:

Describe advanced concepts of probability, random variation, and commonly used statistical probability distributions.

Develop an efficient design for collecting, recording, and storing data collected in the conduct of public health and medical research.

Develop sample size and statistical power calculations for basic study designs including those utilized in clinical trials.

Design efficient computer programs for study management, statistical analysis, as well as presentation using SAS and other programming languages.

Produce edited data sets suitable for statistical analyses.

Apply advanced informatics techniques with vital statistics and public health records in the description of public health characteristics and in public health research and evaluation.

Perform analyses of stated hypotheses using a variety of analytical tools including analysis of variance, multiple regression, nonparametric statistics, logistic regression, multivariate analyses, and methods for analyzing rates and failure-time data.

Interpret results of advanced statistical analyses and use these results to make relevant inferences from data.

Produce working tables and statistical summaries describing research in health science.

Develop written presentations based on intermediate to advanced statistical analyses for both public health professionals and educated lay audiences.

Develop oral presentations based on intermediate to advanced statistical analyses for both public health professionals and educated lay audiences.

耶鲁大学(Yale University)，简称耶鲁(Yale)，坐落于美国康涅狄格州纽黑文，是一所世界著名的私立研究型大学，全美第三古老的高等学府。耶鲁大学是美国大学协会的14所创始院校之一，也是著名的常春藤联盟成员。耶鲁大学的教授阵容、课程安排、教学设施方面堪称世界一流。

截止至2019年10月，耶鲁大学的校友、教授及研究人员中，共产生了62位诺贝尔奖得主(世界第十一)、5位菲尔兹奖得主(世界第十二)以及3位图灵奖得主(世界第十六)。