关键信息
关于内容
We will introduce methods to perform systematic reviews and meta-analysis of clinical trials. We will cover how to formulate an answerable research question, define inclusion and exclusion criteria, search for the evidence, extract data, assess the risk of bias in clinical trials, and perform a meta-analysis. Upon successfully completing this course, participants will be able to: - Describe the steps in conducting a systematic review - Develop an answerable question using the “Participants Interventions Comparisons Outcomes” (PICO) framework - Describe the process used to collect and extract data from reports of clinical trials - Describe methods to critically assess the risk of bias of clinical trials - Describe and interpret the results of meta-analyses
课程大纲
- Week 1 - Introduction
To get the ball rolling, we'll take a broad overview of what to expect in this course and then introduce you to the high-level concepts of systematic review and meta-analysis and take a look at who produces and uses systematic reviews. - Week 2 - Framing the Question
In this module, we will discuss how to frame a question, as well as scope, elements, and refining the question. - Week 3 - Searching Principles and Bias Assessment
In this module we will look at finding the evidence, as well as key sources, search strategy, and assessing the risk of bias. - Week 4 - Minimizing Metabias, Qualitative Synthesis, and Interpreting Results
In this module, we will cover minimizing metabias, selection bias, information bias, how to report transparently, qualitative synthesis, and interpreting results. - Week 5 - Planning the Meta-Analysis and Statistical Methods
This module will cover the planning of your meat-analysis and the statistical methods for meta-analysis. - Week 6 - Wrap Up and Final Peer Review Assignment
In this final module, we'll wrap up with a look back at the key concepts covered over the past few weeks. Afterwards, you will submit your final Peer Review Assignment and evaluate some of your classmates' submissions.
教师
Tianjing Li, MD, MHS, PHD
Assistant Professor, Epidemiology
Bloomberg School of Public Health
Kay Dickersin, PhD
Professor, Epidemiology
Bloomberg School of Public Health
内容设计师
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。
平台
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。
