How to do your first meta-analysis from start to finish. A complete workshop.

Video Description

Learn how to plan and conduct a meta-analysis from start to finish through applied examples. This comprehensive workshop is designed to replace weekend seminars many people pay for. We cover everything from planning your first meta-analysis through understanding the statistics involved, running the analyses in R, and writing up your results. The entire video is time-stamped at major points so you can easily jump back into relevant sections. Note: The AIDE software has been fixed since this video was filmed 😊 Note: Materials for this course are available here: https://drive.google.com/drive/folders/1jyzFRc8Jv2CQ21mAWZ1e7Ghf3IGZheLI?usp=sharing Please Like and Subscribe to support the channel! @LearnMetaAnalysis How to speed up your review with Rayyan's free AI tools!: https://youtu.be/DagEfrSL_Zg Access state of the art LLMs all in one place with ChatLLM – My 3 month review of ChatLLM: https://youtu.be/_Z3nLKvTbGc Tutorials and how-to guides: Build a custom research assistant yourself with no coding and for free: https://youtu.be/x34IqZ14QUs Connect a LLM to your Zotero (or any other local folder): https://youtu.be/b2BSZfOtD_w Install OpenWebUI (it’s free and no coding!): https://youtu.be/gm_1VUg3L24 Conventional meta-analysis: https://www.youtube.com/playlist?list=PLXa5cTEormkEbYpBIgikgE0y9QR7QIgzs Three-level meta-analysis: https://www.youtube.com/playlist?list=PLXa5cTEormkHwRmu_TJXa7fSb6-WBXXoJ Three-level meta-analysis with correlated and hierarchical effects and robust variance estimation: https://www.youtube.com/playlist?list=PLXa5cTEormkEGenfcnp9X5dQUhmm7f9Jp Tired of manually extracting data for systematic review and meta-analysis? Check out AI-Assisted Data Extraction, a free package for R! https://youtu.be/HuWXbe7hgFc Free ebook on meta-analysis in R (no download required): https://noah-schroeder.github.io/reviewbook/ Visit our website at https://learnmeta-analysis.com/ 0:00 What this course is 3:56 What this course is not 5:00 Agenda 8:34 What is meta-analysis? 13:26 Planning a meta-analysis 14:48 PRISMA intro 18:43 Takeaway points 20:23 Research questions 22:09 Hands-on example: Planning, literature searching, database building, Zotero 55:53 Screening studies 1:01:34 Hands-on example: Inclusion criteria, screening studies 1:24:47 Data extraction and inter-rater reliability 1:29:39 Hands-on example: Developing our coding scheme 1:34:36 Hands-on example: Extracting data by hand 1:44:03 Hands-on example: AI-assisted data extraction 1:58:34 Variable table 2:01:49 Inter-rater reliability 2:03:51 Research questions guide variables 2:05:51 Study quality/confidence/risk of bias 2:07:52 Introduction to meta-analysis statistics 2:17:28 Heterogeneity 2:20:29 Outliers, influence, sensitivity analysis 2:30:13 Categorical moderator analysis 2:34:01 Meta-regression 2:34:51 Residual heterogeneity 2:35:33 Publication bias 2:43:12 Hands-on example: Preparing for a meta-analysis in R 2:47:42 Hands-on example: Conducting the analyses in R 3:14:59 Hands-on example: Writing up your results