## Mathematical Biostatistics Boot Camp

 所在平台: Coursera 课程类别: 统计和数据分析 授课老师： Brian Caffo

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#### 课程详情

Statistics is a thriving discipline that provides the fundamental language of all empirical research. Biostatistics is simply the field of statistics applied in the biomedical sciences.

This course puts forward key mathematical and statistical topics to help students understand biostatistics at a deeper level. After completing this course, students will have a basic level of understanding of the goals, assumptions, benefits and negatives of probability modeling in the medical sciences. This understanding will be invaluable when approaching new statistical topics and will provide students with a framework and foundation for future self learning.

Topics include probability, random variables, distributions, expectations, variances, independence, conditional probabilities, likelihood and some basic inferences based on confidence intervals.

#### 课程大纲

The goal of this course is to equip biostatistics and quantitative scientists with core applied statistical concepts and methods:
1. Students will learn basic mathematical biostatistics including probability distributions and their properties.
2. Students will learn the basics of statistical likelihood.
3. Students will learn the basics of confidence intervals.
4. The course will introduce students to the display and communication of statistical data. This will include graphical and exploratory data analysis using tools like scatterplots, boxplots and the display of multivariate data.

#### 课程评论(2条)

 1 52nlp 2014-01-05 13:15 1 票支持; 0 票反对 轮次： 这门“生物统计学数学训练营”的课程已经开了第五轮，我跟的这一轮课程是2013.11.18号开课的，总共7周；下一轮课程是2014.3.3号，开课频率很高，感兴趣的同学可以关注。 背景： 本科数学系，研究生和工作后搞的计算机相关的方向，但是时刻能感受到概率统计非常有用，而自己这方面并不扎实。所以回补统计学课程是我在这一轮MOOC大潮中最想干的事情。 内容： 这门课程出自 Johns Hopkins University(约翰斯•霍普金斯大学)，课程还提供认证模式的学习方式（付费），授课老师是Brian Caffo。课程主要分为4大模块，13节课程，包括基础的概率基本概念，期望，随机变量，条件概率，似然率，贝叶斯定理，置信区间，Bootstrapping等等，覆盖的知识点很多，而这只是这门课程的第一部分，第二部分课程“Mathematical Biostatistics Boot Camp 2"也将于2014.1.6开启新的一轮课程，将介绍假设检验，Fisher准确检验，卡方检验以及非参数检验等等更高级的统计学知识点。 作业： 总共有4个Homework和4给Quiz, 如果想拿到证书，Quiz是必须做得，至少需要拿到70%的分数，如果拿到90%以上的分数，记为优秀，而Homework可选，当然老师是鼓励完成这些家庭作业的。 社区： 很少去社区看问题，好像在Coursera上还没有养成这个习惯。 感受： 之所以给这门课程打3.5分，就是觉得课程内容不错，但是老师讲课太平淡了，总感觉放一张PPT，然后就对着读或讲了，和Udacity上两门统计学课程的学习感觉有天壤之别，感觉还是很传统的那种上课模式，学习效果也打很多折扣，常常做作业的时候对着PPT来重新温习。另外课程偶尔会用R演示一下计算过程，这个上课前没有注意，不过不影响这门课程的学习。
 0 MarTierra 2013-08-13 03:40 0 票支持; 0 票反对 大家先把高数补一补……我反正经常算岔……

#### 课程简介

This class presents the fundamental probability and statistical concepts used in elementary data analysis. It will be taught at an introductory level for students with junior or senior college-level mathematical training including a working knowledge of calculus. A small amount of linear algebra and programming are useful for the class, but not required.