1. To support our site, MoocLab may be compensated by some course providers through affiliate links.
  2. We're here to help you stay connected and progress together. Read about MoocLab's response to COVID-19 ►

    Dismiss Notice

Coursera Introduction to Systematic Review and Meta-Analysis

Johns Hopkins University via Coursera

  • Overview
  1. Coursera
    Platform:
    Coursera
    Provider:
    Johns Hopkins University
    Length:
    6 weeks
    Effort:
    4-6 hours a week
    Language:
    English
    Credentials:
    Paid Certificate Available
    Overview
    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

    Syllabus
    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.

    Framing the Question
    In this module, we will discuss how to frame a question, as well as scope, elements, and refining the question.

    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.

    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.

    Planning the Meta-Analysis and Statistical Methods

    This module will cover the planning of your meat-analysis and the statistical methods for meta-analysis.

    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.

    Taught by
    Tianjing Li and Kay Dickersin

Share This Page



  1. This site uses cookies to help personalise content, tailor your experience and to keep you logged in if you register.
    By continuing to use this site, you are consenting to our use of cookies.
    Dismiss Notice