Об этом курсе: 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
Автор: Университет Джонса Хопкинса
Преподаватели: Tianjing Li, MD, MHS, PHD, Assistant Professor, Epidemiology
Bloomberg School of Public Health
Преподаватели: Kay Dickersin, PhD, Professor, Epidemiology
Bloomberg School of Public Health
| Выполнение | 6 weeks of study, 4-6 hours/week |
| Язык | English |
| Как пройти курс | Чтобы пройти курс, выполните все оцениваемые задания. |
| Оценки пользователей |
Программа курса
НЕДЕЛЯ 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 видео, 3 материалов для самостоятельного изучения
- Видео: Welcome to Systematic Reviews and Meta-Analysis
- Leyendo: Syllabus
- Leyendo: Pre Course Survey
- Leyendo: From the Field Videos
- Видео: Lecture 1A : Introduction to Systematic Reviews
- Видео: Lecture 1B: Introduction to Meta-Analysis
- Видео: Lecture 1C: Producers and Users of Systematic Reviews
- Видео: Hannah Rothstein, PhD
НЕДЕЛЯ 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 видео, 1 материал для самостоятельного изучения
- Видео: Lecture 2A: Resources for How to Frame Your Question
- Видео: Lecture 2B: Deciding the Type and Scope of Your Question
- Видео: Lecture 2C: Elements of the Question
- Видео: Lecture 2D: Refining the Question
- Видео: Lecture 2E: Some Examples
- Видео: Lecture 2F: Analytic Frameworks
- Видео: Betsy Becker, PhD
- Leyendo: Welcome to the first Peer Assignment!
Оцениваемый: Module 2
Оцениваемый: Peer Assessment 1
НЕДЕЛЯ 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 видео
- Видео: Searching Principles and Assessing Bias
- Видео: Lecture 3A: Finding the Evidence: Searching Principles
- Видео: Lecture 3B: Identifying Key Sources and Techniques for Searching
- Видео: Lecture 3C: Building a High-Quality Search Strategy
- Видео: Lecture 3D: Documenting Your Search and Conclusions
- Видео: Lecture 4A: Why Bias in the Individual Study is Important to a Systematic Review and Meta-Analysis
- Видео: Lecture 4B: Selection Bias
- Видео: Lecture 4C: Information Bias
- Видео: Lecture 4D: Bias in the Analysis
- Видео: Lecture 4E: Displaying Study "Quality" in Your Systematic Review
- Видео: Byron Wallace, Phd
Оцениваемый: Module 3
Оцениваемый: Module 4
НЕДЕЛЯ 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 видео
- Видео: Lecture 5A: Standards for Systematic Reviews
- Видео: Lecture 5B: Selection Bias
- Видео: Lecture 5C: Information Bias
- Видео: Lecture 5D: Bias in the Analysis
- Видео: Lecture 5E: Reporting Transparently
- Видео: Lecture 6A: Qualitative Synthesis and Interpreting Results Section A
- Видео: Lecture 6B: What is Qualitative Synthesis
- Видео: Lecture 6C: Some Examples
- Видео: Christopher Schmid, PhD
Оцениваемый: Module 5
Оцениваемый: Module 6
НЕДЕЛЯ 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 видео
- Видео: Planning Meta-Analysis and Statistical Methods
- Видео: Lecture 7A: Planning Your Meta-Analysis Section A
- Видео: Lecture 7B: Introduction to Meta-Analysis
- Видео: Lecture 7C: Why Do a Meta-Analysis?
- Видео: Lecture 7D: Types of Data and Effect Measures
- Видео: Lecture 8A: Fixed Effect Model
- Видео: Lecture 8B: Random Effects Model
- Видео: Lecture 8C: Random Effects Model
- Видео: Michael Borenstein, PhD
Оцениваемый: Module 7
Оцениваемый: Module 8
НЕДЕЛЯ 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 видео, 1 материал для самостоятельного изучения
- Видео: Lecture 9A: Wrap Up
- Leyendo: Welcome to Your Final Peer Review Assignment
- Видео: Closing Remarks
Оцениваемый: Peer Review Assignment 2
Часто задаваемые вопросы
Как это работает
Trabajo del curso
Cada curso es como un libro de texto interactivo, con videos pregrabados, cuestionarios y proyectos.
Ayuda de tus compañeros
Conéctate con miles de estudiantes y debate ideas y materiales del curso, y obtén ayuda para dominar los conceptos.
Certificados
Obtén reconocimiento oficial por tu trabajo y comparte tu éxito con amigos, compañeros y empleadores.
Авторы
Университет Джонса Хопкинса
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.
Рейтинги и отзывы
Excellent course with valuable and useful tips to do an actual review. The content is a mix of very-basic review priciples which every medical student should know and more advancedMinor annoyance was that the audio recording was obviously from some on-site course and references to other assignments and courses have not been cut-out.
Great teaching and great learning experience from the expertise
excellent course! thanks
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Well organized and detailed material