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list 8个序列
assignment 等级:入门
chat_bubble_outline 语言:英语
card_giftcard 512分


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timer 64小时总数


A conceptual and interpretive public health approach to some of the most commonly used methods from basic statistics.

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  • Week 1 - Introduction and Module 1
    This module, consisting of one lecture set, is intended to whet your appetite for the course, and examine the role of biostatistics in public health and medical research. Topics covered include study design types, data types, and data summarization.
  • Week 2 - Module 2A: Summarization and Measurement
    Module 2A consists of two lecture sets that cover measurement and summarization of continuous data outcomes for both single samples, and the comparison of two or more samples. Please see the posted learning objectives for these two lecture sets for more detai...
  • Week 3 - Module 2B: Summarization and Measurement
    Module 2B includes a single lecture set on summarizing binary outcomes. While at first, summarization of binary outcome may seem simpler than that of continuous outcomes, things get more complicated with group comparisons. Included in the module are examples...
  • Week 4 - Module 2C: Summarization and Measurement
    This module consists of a single lecture set on time-to-event outcomes. Time-to-event data comes primarily from prospective cohort studies with subjects who haven to had the outcome of interest at their time of enrollment. These subjects are followed for a...
  • Week 5 - Module 3A: Sampling Variability and Confidence Intervals
    Understanding sampling variability is the key to defining the uncertainty in any given sample/samples based estimate from a single study. In this module, sampling variability is explicitly defined and explored through simulations. The resulting patterns fro...
  • Week 6 - Module 3B: Sampling Variability and Confidence Intervals
    The concepts from the previous module (3A) will be extended create 95% CIs for group comparison measures (mean differences, risk differences, etc..) based on the results from a single study.
  • Week 7 - Module 4A: Making Group Comparisons: The Hypothesis Testing Approach
    Module 4A shows a complimentary approach to confidence intervals when comparing a summary measure between two populations via two samples; statistical hypothesis testing. This module will cover some of the most used statistical tests including the t-test for ...
  • Week 8 - Module 4B: Making Group Comparisons: The Hypothesis Testing Approach
    Module 4B extends the hypothesis tests for two populations comparisons to "omnibus" tests for comparing means, proportions or incidence rates between more than two populations with one test


  • John McGready, PhD, MS, Associate Scientist, Biostatistics
    Bloomberg School of Public Health


Johns Hopkins University

约翰霍普金斯大学(JHU)是一所美国私立大学,位于马里兰州巴尔的摩市。它在华盛顿特区、意大利博洛尼亚、新加坡和中国南京也设有校区。约翰-霍普金斯大学的名字源于一位富有的企业家约翰-霍普金斯,他在去世时将 700 万美元遗赠给了这所大学。

约翰霍普金斯大学是美国最负盛名的大学之一(尤其是其医学和公共卫生学院以及国际事务学院),它将自己定义为美国领先的 "研究型大学"。建校之初,它主要受到海德堡大学和威廉-冯-洪堡德国教育模式的启发。2019 年,有 39 位诺贝尔奖获得者的名字与这所大学有关2。




Coursera是一家数字公司,提供由位于加利福尼亚州山景城的计算机教师Andrew Ng和达芙妮科勒斯坦福大学创建的大型开放式在线课程。

Coursera与顶尖大学和组织合作,在线提供一些课程,并提供许多科目的课程,包括:物理,工程,人文,医学,生物学,社会科学,数学,商业,计算机科学,数字营销,数据科学 和其他科目。

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