Acerca de este 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
Creada por: Johns Hopkins University
Enseñado por: Tianjing Li, MD, MHS, PHD, Assistant Professor, Epidemiology
Bloomberg School of Public HealthEnseñado por: Kay Dickersin, PhD, Professor, Epidemiology
Bloomberg School of Public Health
| Compromiso | 6 weeks of study, 4-6 hours/week |
| Idioma | Inglés (English) |
| Cómo aprobar | Aprueba todas las tareas calificadas para completar el curso. |
| Calificaciones del usuario |
Programa
SEMANA 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.
5 videos, 3 lecturas
- Reading: Syllabus
- Reading: Pre Course Survey
- Reading: 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
SEMANA 2
Framing the Question
In this module, we will discuss how to frame a question, as well as scope, elements, and refining the question.
7 videos, 1 lectura
- 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
- Reading: Welcome to the first Peer Assignment!
Calificado: Module 2
Calificado: Peer Assessment 1
SEMANA 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.
11 videos
- 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
Calificado: Module 3
Calificado: Module 4
SEMANA 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.
9 videos
- 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
Calificado: Module 5
Calificado: Module 6
SEMANA 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.
9 videos
- 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
Calificado: Module 7
Calificado: Module 8
SEMANA 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.
2 videos, 1 lectura
- Reading: Welcome to Your Final Peer Review Assignment
- Vídeo: Closing Remarks
Calificado: Peer Review Assignment 2
Preguntas Frecuentes
Cómo funciona
Coursework
Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.
Help from Your Peers
Connect with thousands of other learners and debate ideas, discuss course material, and get help mastering concepts.
Certificates
Earn official recognition for your work, and share your success with friends, colleagues, and employers.
Creadores
Johns Hopkins University
The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.
Calificaciones y revisiones
I think more engagement would have improved the course- perhaps only with those that paid for the certificate would add value to the cost.
Enlightening and Really helpful! Looking forward to doing a systematic review with or without meta-analysis! 🙂
Excellent, concise review of the essentials of Systematic Reviews and Meta - Analysis. A definite necessity for any healthcare professional.
Coursera brinda acceso universal a la mejor educación del mundo, al asociarse con las mejores universidades y organizaciones, para ofrecer cursos en línea.
© 2018 Coursera Inc. Todos los derechos reservados.
OH
Good material, and the way in wich the teachers guide us in the course makes the information more digestible by presenting practical examples. Thank you.