Informações sobre o curso: 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
Ministrado por: Tianjing Li, MD, MHS, PHD, Assistant Professor, Epidemiology
Bloomberg School of Public HealthMinistrado por: Kay Dickersin, PhD, Professor, Epidemiology
Bloomberg School of Public Health
| Compromisso | 6 weeks of study, 4-6 hours/week |
| Idioma | English |
| Como ser aprovado | Seja aprovado em todas as tarefas para concluir o curso. |
| Classificação do usuário |
- Материал для самостоятельного изучения: Syllabus
- Материал для самостоятельного изучения: Pre Course Survey
- Материал для самостоятельного изучения: From the Field Videos
- Vídeo: Lecture 1A : Introduction to Systematic Reviews
- Vídeo: Lecture 1B: Introduction to Meta-Analysis
- Vídeo: Lecture 1C: Producers and Users of Systematic Reviews
- Vídeo: Hannah Rothstein, PhD
- Vídeo: Lecture 2B: Deciding the Type and Scope of Your Question
- Vídeo: Lecture 2C: Elements of the Question
- Vídeo: Lecture 2D: Refining the Question
- Vídeo: Lecture 2E: Some Examples
- Vídeo: Lecture 2F: Analytic Frameworks
- Vídeo: Betsy Becker, PhD
- Материал для самостоятельного изучения: Welcome to the first Peer Assignment!
- Vídeo: Lecture 3A: Finding the Evidence: Searching Principles
- Vídeo: Lecture 3B: Identifying Key Sources and Techniques for Searching
- Vídeo: Lecture 3C: Building a High-Quality Search Strategy
- Vídeo: Lecture 3D: Documenting Your Search and Conclusions
- Vídeo: Lecture 4A: Why Bias in the Individual Study is Important to a Systematic Review and Meta-Analysis
- Vídeo: Lecture 4B: Selection Bias
- Vídeo: Lecture 4C: Information Bias
- Vídeo: Lecture 4D: Bias in the Analysis
- Vídeo: Lecture 4E: Displaying Study "Quality" in Your Systematic Review
- Vídeo: Byron Wallace, Phd
- Vídeo: Lecture 5B: Selection Bias
- Vídeo: Lecture 5C: Information Bias
- Vídeo: Lecture 5D: Bias in the Analysis
- Vídeo: Lecture 5E: Reporting Transparently
- Vídeo: Lecture 6A: Qualitative Synthesis and Interpreting Results Section A
- Vídeo: Lecture 6B: What is Qualitative Synthesis
- Vídeo: Lecture 6C: Some Examples
- Vídeo: Christopher Schmid, PhD
- Vídeo: Lecture 7A: Planning Your Meta-Analysis Section A
- Vídeo: Lecture 7B: Introduction to Meta-Analysis
- Vídeo: Lecture 7C: Why Do a Meta-Analysis?
- Vídeo: Lecture 7D: Types of Data and Effect Measures
- Vídeo: Lecture 8A: Fixed Effect Model
- Vídeo: Lecture 8B: Random Effects Model
- Vídeo: Lecture 8C: Random Effects Model
- Vídeo: Michael Borenstein, PhD
- Материал для самостоятельного изучения: Welcome to Your Final Peer Review Assignment
- Vídeo: Closing Remarks
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I loved everything about this course! I learned a lot and I am proud to say that now I can critically read a systematic review and interpret meta-analysis results. I will definitely do another Johns Hopkins course in the future!
I would have liked to have learned more about generating forest plots, additional data visualizations of meta-analysis, and additional examples of meta-analysis....
The course talked about the PRISMA methods in achieving systematic reviews, is PRISMA a standard method in systematic reviews (e.g. universality) in structuring or are different entities then Cochrane achieving systematic reviews in different, yet, comparable PRISMA methods?
It is a excellent option to learn about sitematic review and meta analysis, basics concepts with the posibility to go deeper as you can do.
Ie
Brilliant course .