UAB's virtual fair for Master's Degrees, Graduate Courses and PhDs
Informative sessions with directors and coordinators. From the 26th to the 30th of May: Registration is open!
You can also send the form on this page to request personalized attention.
- UAB Specialisation Course
- Code: 4715/4
- 4th edition
- Modality: Online
- Credits: 4 ECTS
- Start date: 16/02/2026
- Finish date: 26/04/2026
- Places: 60
- Orientation: Research
- Price: 330 €
- Teaching language: Spanish
- Location: Virtual
This course introduces the set of meta-analysis techniques that allow the integration of information from different studies that address the same scientific study topic. Once the objectives of the meta-analysis are defined and established, the course offers the general action scheme that represents its design.
The different strategies for searching the eligible population are discussed. Special importance is given to the systematic review part, prior to any meta-analysis, to integrate only methodologically acceptable information.
Among the meta-analysis techniques, the analysis of categorical variables is especially addressed, as it is the most frequently used in Health Sciences, and the issue between the fixed effects model and the random effects model. The problems of heterogeneity of the combined population and the detection and treatment of publication bias are addressed.
1. Generalities
2. Identification of the Study Population
3. Inclusion Criteria
UD 2: Meta-Analysis: Combination Methods
1. Combination of Studies: Problems and Models
2. Methods Based on an Underlying Effect Model: Binary Responses
3. Methods Based on an Underlying Effect Model: Continuous Responses
4. Cumulative Meta-Analysis and Network Meta-Analysis
UD 3: Heterogeneity, Publication Bias, and Publication of a Systematic Review
1. Study of Heterogeneity
2. Publication Bias
3. How to Publish a Systematic Review
4. Conclusions
Appendix A: Chalmers Protocol
Appendix B: User Command 'mar'
Appendix C: Meta-Analysis with Native Stata 16 Commands
The different strategies for searching the eligible population are discussed. Special importance is given to the systematic review part, prior to any meta-analysis, to integrate only methodologically acceptable information.
Among the meta-analysis techniques, the analysis of categorical variables is especially addressed, as it is the most frequently used in Health Sciences, and the issue between the fixed effects model and the random effects model. The problems of heterogeneity of the combined population and the detection and treatment of publication bias are addressed.
Contents
UD 1: Data Selection and Collection1. Generalities
2. Identification of the Study Population
3. Inclusion Criteria
UD 2: Meta-Analysis: Combination Methods
1. Combination of Studies: Problems and Models
2. Methods Based on an Underlying Effect Model: Binary Responses
3. Methods Based on an Underlying Effect Model: Continuous Responses
4. Cumulative Meta-Analysis and Network Meta-Analysis
UD 3: Heterogeneity, Publication Bias, and Publication of a Systematic Review
1. Study of Heterogeneity
2. Publication Bias
3. How to Publish a Systematic Review
4. Conclusions
Appendix A: Chalmers Protocol
Appendix B: User Command 'mar'
Appendix C: Meta-Analysis with Native Stata 16 Commands
Career opportunities
The course allows students to certify methodological competence to join Centers and Groups of applied research in the healthcare field.Scholarships and financial aid
Chek all the information on the possibilities for grants and scholarships in the page for UAB financial aids, grants and calls.
Coordinating centres
Departamento de Psicobiología y Metodología de las Ciencias de la Salud
Contact
Conchi Serrano Bermúdez
Phone: 935811632