Introduction to Systematic Review and Meta-Analysis

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About Course

Dive into the world of systematic reviews and meta-analysis with this comprehensive course offered by Johns Hopkins University. Learn how to conduct rigorous research, drawing insights from clinical trials.

This free course covers essential topics, including:

  • Formulating answerable research questions
  • Defining inclusion and exclusion criteria
  • Conducting comprehensive evidence searches
  • Extracting and analyzing data
  • Assessing the risk of bias in clinical trials
  • Performing meta-analysis

Gain a deeper understanding of systematic review methodology and its applications. This course is perfect for researchers, students, and healthcare professionals seeking to enhance their research skills.

Enroll now for free and access this course, along with hundreds of others, from top platforms like Udemy, Udacity, Coursera, MasterClass, NearPeer, and more. Start your journey to becoming a data-driven researcher today!

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What Will You Learn?

  • 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

Course Content

Introduction to Sytematic Review and Meta-Analysis

  • A Message from the Professor
  • 003 01_welcome-to-systematic-reviews-and-meta-analysis.mp4
    00:00
  • 004 02_syllabus_instructions.html
    00:00
  • 005 03_pre-course-survey_instructions.html
    00:00
  • 006 04_from-the-field-videos_instructions.html
    00:00
  • 010 01_lecture-1a-introduction-to-systematic-reviews.mp4
    00:00
  • 014 02_lecture-1b-introduction-to-meta-analysis.mp4
    00:00
  • 018 03_lecture-1c-producers-and-users-of-systematic-reviews.mp4
    00:00
  • 021 01_hannah-rothstein-phd.mp4
    00:00
  • 029 02_lecture-2b-deciding-the-type-and-scope-of-your-question.mp4
    00:00
  • 033 03_lecture-2c-elements-of-the-question.mp4
    00:00
  • 037 04_lecture-2d-refining-the-question.mp4
    00:00
  • 041 05_lecture-2e-some-examples.mp4
    00:00
  • 045 06_lecture-2f-analytic-frameworks.mp4
    00:00
  • 046 07_module-2_exam.html
    00:00
  • 049 01_betsy-becker-phd.mp4
    00:00
  • 051 02_peer-assessment-1_peer_assignment_instructions.html
    00:00
  • 054 01_searching-principles-and-assessing-bias.mp4
    00:00
  • 058 02_lecture-3a-finding-the-evidence-searching-principles.mp4
    00:00
  • 062 03_lecture-3b-identifying-key-sources-and-techniques-for-searching.mp4
    00:00
  • 066 04_lecture-3c-building-a-high-quality-search-strategy.mp4
    00:00
  • 070 05_lecture-3d-documenting-your-search-and-conclusions.mp4
    00:00
  • 071 06_module-3_exam.html
    00:00
  • 075 01_lecture-4a-why-bias-in-the-individual-study-is-important-to-a-systematic-review.mp4
    00:00
  • 079 02_lecture-4b-selection-bias.mp4
    00:00
  • 083 03_lecture-4c-information-bias.mp4
    00:00
  • 087 04_lecture-4d-bias-in-the-analysis.mp4
    00:00
  • 091 05_lecture-4e-displaying-study-quality-in-your-systematic-review.mp4
    00:00
  • 092 06_module-4_exam.html
    00:00
  • 095 01_byron-wallace-phd.mp4
    00:00
  • 103 02_lecture-5b-selection-bias.mp4
    00:00
  • 107 03_lecture-5c-information-bias.mp4
    00:00
  • 111 04_lecture-5d-bias-in-the-analysis.mp4
    00:00
  • 115 05_lecture-5e-reporting-transparently.mp4
    00:00
  • 116 06_module-5_exam.html
    00:00
  • 120 01_lecture-6a-qualitative-synthesis-and-interpreting-results-section-a.mp4
    00:00
  • 124 02_lecture-6b-what-is-qualitative-synthesis.mp4
    00:00
  • 128 03_lecture-6c-some-examples.mp4
    00:00
  • 129 04_module-6_exam.html
    00:00
  • 132 01_christopher-schmid-phd.mp4
    00:00
  • 139 02_lecture-7a-planning-your-meta-analysis-section-a.mp4
    00:00
  • 143 03_lecture-7b-introduction-to-meta-analysis.mp4
    00:00
  • 147 04_lecture-7c-why-do-a-meta-analysis.mp4
    00:00
  • 151 05_lecture-7d-types-of-data-and-effect-measures.mp4
    00:00
  • 152 06_module-7_exam.html
    00:00
  • 156 01_lecture-8a-fixed-effect-model.mp4
    00:00
  • 160 02_lecture-8b-random-effects-model.mp4
    00:00
  • 164 03_lecture-8c-random-effects-model.mp4
    00:00
  • 165 04_module-8_exam.html
    00:00
  • 168 01_michael-borenstein-phd.mp4
    00:00
  • 174 02_peer-review-assignment-2_peer_assignment_instructions.html
    00:00
  • 177 01_closing-remarks.mp4
    00:00
  • links.txt
    00:00
  • Section Quiz

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