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Introduction to Systematic Review and Meta-Analysis

Learn to conduct systematic reviews and meta-analyses of clinical trials. Master evidence-based research methods.

Learn to conduct systematic reviews and meta-analyses of clinical trials. Master evidence-based research methods.

Master the art of systematic reviews and meta-analysis with this comprehensive course from Johns Hopkins University. Learn to formulate research questions, conduct literature searches, extract data, assess bias, and perform meta-analyses of clinical trials. Develop crucial skills in evidence-based research, including the PICO framework, data extraction, and statistical methods for meta-analysis. Ideal for healthcare professionals, researchers, and anyone interested in evidence-based practice. By the end of the course, you'll be able to design, conduct, and interpret systematic reviews and meta-analyses to inform clinical decision-making and policy.

4.8

(3,335 ratings)

1,76,829 already enrolled

English

پښتو, বাংলা, اردو, 3 more

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Introduction to Systematic Review and Meta-Analysis

This course includes

13 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

2,435

What you'll learn

  • Understand the principles and steps of conducting systematic reviews

  • Develop research questions using the PICO (Participants, Interventions, Comparisons, Outcomes) framework

  • Design and execute comprehensive literature search strategies

  • Learn data extraction techniques and quality assessment of clinical trials

  • Understand and apply methods to assess risk of bias in studies

  • Perform and interpret meta-analyses using fixed and random effects models

Skills you'll gain

systematic review
meta-analysis
evidence-based medicine
research methods
clinical trials
bias assessment
PICO framework
statistical analysis

This course includes:

7.3 Hours PreRecorded video

7 quizzes

Access on Mobile, Tablet, Desktop

FullTime access

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There are 6 modules in this course

This course provides a comprehensive introduction to systematic reviews and meta-analysis, focusing on their application in clinical research. Participants will learn the step-by-step process of conducting a systematic review, from formulating a research question using the PICO framework to performing a meta-analysis of clinical trials. The course covers crucial topics such as developing search strategies, extracting data, assessing the risk of bias in studies, and interpreting meta-analysis results. Students will also learn about different types of bias, qualitative synthesis, and the importance of transparent reporting. By the end of the course, participants will have the skills to critically appraise existing systematic reviews and conduct their own, contributing to evidence-based practice in healthcare and related fields.

Introduction

Module 1 · 1 Hours to complete

Framing the Question

Module 2 · 2 Hours to complete

Searching Principles and Bias Assessment

Module 3 · 2 Hours to complete

Minimizing Metabias, Qualitative Synthesis, and Interpreting Results

Module 4 · 2 Hours to complete

Planning the Meta-Analysis and Statistical Methods

Module 5 · 2 Hours to complete

Wrap Up and Final Peer Review Assignment

Module 6 · 1 Hours to complete

Fee Structure

Payment options

Financial Aid

Instructors

Tianjing Li, MD, MHS, PHD
Tianjing Li, MD, MHS, PHD

4.7 rating

877 Reviews

1,81,244 Students

1 Course

Assistant Professor, Epidemiology

Dr. Tianjing Li's research expertise centers on the development and prioritization of comparative effectiveness research, systematic review methodologies, meta-analyses, network meta-analysis, clinical trial design, and addressing reporting bias. As Associate Director of the US Cochrane Center, Dr. Li plays a key role in leading and co-convening two Cochrane Methods Groups. With extensive experience in teaching systematic review and meta-analysis methodologies, Dr. Li has been a prominent educator at Johns Hopkins Bloomberg School of Public Health, where she has trained numerous students and professionals in these critical research areas.

Kay Dickersin, PhD
Kay Dickersin, PhD

4.7 rating

877 Reviews

1,81,244 Students

1 Course

Professor, Epidemiology

Dr. Dickersin's primary research interests encompass epidemiology, randomized clinical trials, systematic reviews, meta-analysis, reporting biases, trial registries, peer review, evidence-based health care, and patient-centered outcomes research. Her research has spanned critical areas such as women's health, eye and vision research, and surgical interventions. Dr. Dickersin serves as the Director of the Center for Clinical Trials and Evidence Synthesis at Johns Hopkins University, where faculty, staff, and students engage in methodological research focused on clinical trials and evidence synthesis. Additionally, she holds the role of Director of the US Cochrane Center (USCC), one of 13 global centers participating in The Cochrane Collaboration, an initiative dedicated to preparing and promoting systematic reviews to support well-informed health care decisions. The USCC also supports Consumers United for Evidence-based Healthcare (CUE). Furthermore, Dr. Dickersin is the Director of the Cochrane Eyes and Vision Review Group, US Satellite, focusing on research related to vision health and evidence synthesis.

Introduction to Systematic Review and Meta-Analysis

This course includes

13 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

2,435

Testimonials

Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.

4.8 course rating

3,335 ratings

Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.