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Introduction to Systematic Review and Meta-Analysis
Tianjing Li, MD, MHS, PHD
and
Kay Dickersin, PhD
Tianjing Li, MD, MHS, PHD
and
Kay Dickersin, PhD
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.
Read more
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.
Read more
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
Register for this course and see more details by visiting:
OpenCourser.com/course/j7yqlz/introduction
What's inside
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.
Read more
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.
Read more
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.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Develops strong foundation of conducting systematic reviews in clinical trials
Introduces standard methods used in industry
Instructors are recognized for their work on systematic reviews and meta-analysis
Introduces the PICO framework
Covers transparent and appropriate reporting of clinical trials
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Reviews summary
A valuable guide to systematic review and meta-analysis
Learners say this course provides an excellent introduction to systematic review and meta-analysis, covering all the key steps involved in the process. They particularly appreciate the clear explanations, examples, and hands-on assignments. The course is also praised for its emphasis on practical application, helping learners develop the skills they need to conduct high-quality systematic reviews and meta-analyses.Key features include lectures, readings, exams, quizzes, homework assignments, instructors, deadlines, and certificates. Overall, learners highly recommend this course to anyone interested in learning more about systematic review and meta-analysis.
Learners found the instructors to be engaging and knowledgeable, which made the learning experience more enjoyable.
"The instructors are very soft spoken. Overall one should approach this course who has zero knowledge regarding research"
"The faculties are very soft spoken. Overall one should approach this course who has zero knowledge regarding research"
"Amazing course! Instructors are eloquent, informative, and organized. I look forward to participating in more courses at Johns Hopkins University."
Learners appreciated the course's emphasis on practical application, which helped them develop the skills they need to conduct high-quality systematic reviews and meta-analyses.
"This course provided the foundation that I needed to start thinking about doing my systematic review."
"Really good course, really good assignments that help you better understand how to apply the knowledge and skills that are taught in the course."
"This course made me understand how to read, analyse and critique a systematic review in a more systematic ways.Thank you to the organizer.God bless you.Stay safe and humble."
Learners consistently praised the course's clear explanations and examples, which made the material easy to understand.
"The course is well prepared and designed. It is a good starting point for those who want to conduct systematic review and meta-analysis."
"The lectures were short, simple and easy to comprehend. Kudos to the professors for putting in their time and effort in making these videos."
"This course has been an excellent experience. I'm in the middle of writing my thesis - a systematic review- and this course has helped me a lot."
A few learners noted that some of the course content was outdated.
"However, the underlying principles for both the Cochrane Handbook and PubMed are the same, so this didn't detract too much from the course."
"The slides about PubMed aren't uptodate, the design of the website and some functionalities have changed which could be confusing for students. "
Some learners expressed a desire for more training on the software used in systematic reviews and meta-analyses.
"informative course ,my note is a wish they show us much more aspects with less statistics discussion bc there is a software can do all of that ."
"It would be nice to have a bit more focus on the statistical techniques used for meta-analysis as there is a very heavy focus on the systematic review portion of the course."
Activities
Coming soon
We're preparing activities for
Introduction to Systematic Review and Meta-Analysis.
These are activities you can do either before, during, or after a course.
Career center
Learners who complete Introduction to Systematic Review and Meta-Analysis will develop knowledge and skills
that may be useful to these careers:
Medical Writer
Medical Writer
Medical Writers are responsible for writing clear, concise, and accurate medical documents. These documents can include journal articles, clinical trial reports, and patient education materials. The Introduction to Systematic Review and Meta-Analysis course can help Medical Writers develop the skills they need to critically evaluate medical research and write high-quality medical documents.
Research Scientist
Research Scientist
Research Scientists conduct scientific research to improve our understanding of the world around us. They develop and test new theories, and they publish their findings in scientific journals. The Introduction to Systematic Review and Meta-Analysis course can help Research Scientists develop the skills they need to design and conduct rigorous scientific research.
Statistician
Statistician
Statisticians collect, analyze, and interpret data to help businesses and organizations make informed decisions. They use statistical techniques to identify trends and patterns in data, and they develop models to predict future outcomes. The Introduction to Systematic Review and Meta-Analysis course can help Statisticians develop the skills they need to design and conduct rigorous statistical studies.
Data Analyst
Data Analyst
Data Analysts collect, analyze, and interpret data to help businesses make informed decisions. They use statistical techniques to identify trends and patterns in data, and they develop visualizations to communicate their findings. The Introduction to Systematic Review and Meta-Analysis course can help Data Analysts develop the skills they need to analyze large datasets and draw meaningful conclusions from data.
Epidemiologist
Epidemiologist
Epidemiologists investigate the causes and distribution of diseases in populations. They use statistical techniques to identify risk factors for disease, and they develop strategies to prevent and control disease outbreaks. The Introduction to Systematic Review and Meta-Analysis course can help Epidemiologists develop the skills they need to design and conduct rigorous epidemiological studies.
Public Health Researcher
Public Health Researcher
Public Health Researchers conduct research to improve the health of populations. They investigate the causes of disease, and they develop and evaluate public health interventions. The Introduction to Systematic Review and Meta-Analysis course can help Public Health Researchers develop the skills they need to design and conduct rigorous public health research studies.
Clinical Research Coordinator
Clinical Research Coordinator
Clinical Research Coordinators manage clinical trials and other research studies. They work with patients, doctors, and other healthcare professionals to ensure that studies are conducted according to protocol. The Introduction to Systematic Review and Meta-Analysis course can help Clinical Research Coordinators develop the skills they need to manage clinical trials and other research studies.
Quality Assurance Analyst
Quality Assurance Analyst
Quality Assurance Analysts ensure that products and services meet quality standards. They develop and implement quality control procedures, and they monitor products and services to identify defects. The Introduction to Systematic Review and Meta-Analysis course can help Quality Assurance Analysts develop the skills they need to design and implement quality control procedures.
Medical Librarian
Medical Librarian
Medical Librarians help people find and use medical information. They work in hospitals, clinics, and other healthcare settings. The Introduction to Systematic Review and Meta-Analysis course can help Medical Librarians develop the skills they need to find and evaluate medical information.
Health Policy Analyst
Health Policy Analyst
Health Policy Analysts develop and evaluate health policies. They use research to identify the most effective ways to improve the health of populations. The Introduction to Systematic Review and Meta-Analysis course can help Health Policy Analysts develop the skills they need to evaluate the effectiveness of health policies.
Technical Writer
Technical Writer
Technical Writers create instruction manuals, user guides, and other technical documents. They work for a variety of industries, including software, hardware, and manufacturing. The Introduction to Systematic Review and Meta-Analysis course can help Technical Writers learn how to write clear and concise technical documents.
Science Writer
Science Writer
Science Writers write about science and technology for a general audience. They work for newspapers, magazines, and other media outlets. The Introduction to Systematic Review and Meta-Analysis course can help Science Writers develop the skills they need to write clear and concise explanations of scientific research.
Patent Examiner
Patent Examiner
Patent Examiners review patent applications to ensure that they meet the requirements for a patent. They search for prior art and write reports that explain their findings. The Introduction to Systematic Review and Meta-Analysis course can help Patent Examiners develop the skills they need to search for prior art and write clear and concise reports.
Actuary
Actuary
Actuaries use mathematical and statistical techniques to assess risk and uncertainty. They work for insurance companies, pension funds, and other financial institutions. The Introduction to Systematic Review and Meta-Analysis course can help Actuaries develop the skills they need to assess risk and uncertainty.
Economist
Economist
Economists study the production, distribution, and consumption of goods and services. They use economic models to analyze economic data and make predictions about the future. The Introduction to Systematic Review and Meta-Analysis course may be useful for Economists who want to learn how to conduct systematic reviews of economic research.
For more career information including salaries, visit:
OpenCourser.com/course/j7yqlz/introduction
Reading list
We've selected eight books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Introduction to Systematic Review and Meta-Analysis.
Provides a practical guide to conducting meta-analyses. It covers all aspects of the process, from planning and conducting the search to interpreting and presenting the results.
Provides a practical guide to conducting meta-analyses. It covers all aspects of the process, from planning and conducting the search to interpreting and presenting the results.
Provides a comprehensive overview of the theory and practice of meta-analysis. It covers a wide range of topics, from the basics of meta-analysis to advanced statistical methods.
Provides a comprehensive overview of the theory and practice of meta-analysis. It covers a wide range of topics, from the basics of meta-analysis to advanced statistical methods.
Provides a comprehensive overview of the theory and practice of meta-analysis. It covers a wide range of topics, from the basics of meta-analysis to advanced statistical methods.
Provides a comprehensive overview of the theory and practice of meta-analysis. It covers a wide range of topics, from the basics of meta-analysis to advanced statistical methods.
Provides a comprehensive overview of the theory and practice of meta-analysis. It covers a wide range of topics, from the basics of meta-analysis to advanced statistical methods.
Provides a comprehensive overview of the theory and practice of meta-analysis. It covers a wide range of topics, from the basics of meta-analysis to advanced statistical methods.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/j7yqlz/introduction
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Effort
6 weeks of study, 4-6 hours/week
Via
Coursera
Institution
Johns Hopkins University
Instructors
Tianjing Li, MD, MHS, PHD
Kay Dickersin, PhD
Language
English
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Good to know
Develops strong foundation of conducting systematic reviews in clinical trials
Introduces standard methods used in industry
Instructors are recognized for their work on systematic reviews and meta-analysis
Introduces the PICO framework
Covers transparent and appropriate reporting of clinical trials
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