After completion of this course, students will know how to apply standard methods of meta-analysis in R and will also have gained more experience with advanced R programming topics, such as function writing and reproducible reporting.
- Prepare data for analysis in R
- Define the outcome and effect type
- Distinguish and handle fixed and random effects models
- Visualize and interpret results
- Conduct meta regression
- Deal with missing data and rare events
Who Should Take This Course
Researchers familiar with R who wish to combine the results of multiple studies.
Introduction to Meta Analysis
- History of Meta-Analysis
- Basics of Systematic Review and Meta-Analysis
- Review of the R language
- Meta-Analysis packages in R
- Reference Management
- Data Preparation for Meta-Analysis
Types and Models for Effect Sizes
- Outcomes in Meta-Analysis
- Types of Effect
- Fixed Effects Model
- Random Effects Model
- Reporting, Forest Plots, and Interpretation
Bias, Heterogeneity, and Meta-Regression
- Evaluating and Reporting Bias
- Assessing and Reporting Heterogeneity
- Missing Data
- Individual Patient Data Meta-Analysis
- Rare Events and Small Studies
- Network Meta-Analysis
Familiarity with the issues of Sample Size and Power Determination is also helpful.
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Homework in this course consists of data analysis exercises and programming in the R language.
All needed reading materials will be provided.
You must have a copy of R for the course. You should also download RStudio (download here), an editing and development environment that is especially designed as a place to write R code. Both programs are free. After installing R in your computer you may also install several R add-on packages. Instructions for this installation will be provided as needed.
Literacy, Accessibility, and Dyslexia
At Statistics.com, we aim to provide a learning environment suitable for everyone. To help you get the most out of your learning experience, we have researched and tested several assistance tools. For students with dyslexia, colorblindness, or reading difficulties, we recommend the following web browser add-ons and extensions:
- Color Enhancer (for colorblindness)
- HelperBird (for colorblindness, dyslexia, and reading difficulties)
- Mobile Dyslexic
- Color Vision Simulation (native accessibility feature)
- Other native accessibility features instructions