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- Statistical Meta-analysis Using R
Statistical Meta-analysis Using R
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Short Overview
The program focuses on meta-analytical techniques as applied in medical or behavioral sciences using R libraries. Methods for preparing and collecting meta-analytic data, data visualization charts, analysis of fixed and random effects, ways to measure heterogeneity in studies, meta-regression analysis, introduction to network meta-analysis techniques, as well as additional methods for combining p-values or correlation coefficients, are taught.
Learning Goals
Upon completion of the program, participants will be able to:
- Understand the utility of meta-analysis, its organization, and how data collection can be conducted.
- Comprehend the differences between the two approaches (fixed and random effects) in meta-analysis.
- Perform meta-analyses using both approaches in the R language.
- Interpret the results of the analysis.
- Assess the heterogeneity of studies for meta-analysis and choose the most appropriate of the two approaches.
- Explain study heterogeneity for analysis using meta-regression.
- Use the R language to perform indirect comparisons between subpopulations from data across different studies (network meta-analysis).
Program Value
The program provides the necessary knowledge and skills for conducting meta-analysis of data using R libraries derived from randomized or non-randomized clinical trials and drawing conclusions from it.
Evaluation Method And Final Grade Computation
The performance of each student is evaluated by preparing a final assignment. Successful completion of the program and award of a training certificate requires a final grade of at least 50%.
Learning Method Description
The program uses the eLearning educational method: learning takes place purely asynchronously (that is, on days and hours that serve the trainee, without mandatory attendance at a specific time or day), exclusively remotely (using a special educational platform via the internet from the trainee's area) and using digital educational tools that ensure effective and flexible individual self-learning. The program's training material becomes available at specific time periods, based on the training path followed, and then remains available on the training platform without restrictions throughout the duration of the program.
Teaching Language
Greek
Application deadline: 16/10/2024
Program start: 23/10/2024
Program completion: 26/01/2025
Scientific area
Way to follow
ECTS units: 2
Hours of asynchronous training: 50
Includes training hours (indicative) using an asynchronous distance learning (eLearning) platform.
Includes training hours (indicative) using an asynchronous distance learning (eLearning) platform.
Additional hours of employment: 10
Additional hours of work are included (indicative) and may include individual study, writing assignments, participation in field visits, participation in exams, etc.
Additional hours of work are included (indicative) and may include individual study, writing assignments, participation in field visits, participation in exams, etc.
Total hours: 60
The total hours include hours of synchronous and asynchronous training, as well as additional hours of employment.
The total hours include hours of synchronous and asynchronous training, as well as additional hours of employment.
Weeks of training: 12
Weeks in which activities of any kind are planned are included.
Weeks in which activities of any kind are planned are included.
Vocational Education and Training Certificate
Trainees who successfully complete the program are granted a Vocational Education and Training Certificate of the Center for Education and Lifelong Learning of the Athens University of Economics and Business, which is accompanied by a Supplement to the Certificate, detailing the subject of the program, the thematic units attended by the trainee , as well as the training methodology followed.
Support
Center Secretariat, 210 8203753, This email address is being protected from spambots. You need JavaScript enabled to view it.,
Center Technical Support, 210 8203754, This email address is being protected from spambots. You need JavaScript enabled to view it.,
Target Audience
- Graduates of natural sciences or health sciences, or behavioral sciences who wish to understand and perform meta-analysis using practical tools provided by the R language.
- Postgraduate students or prospective doctoral candidates who would like to employ meta-analytical techniques in their research.
- Professionals in the field of consulting services who would like to acquire a specific skill useful in an era where information for utilization is constantly increasing.
Prerequisite Knowledge
- Basic computer skills (word processing, worksheets, browsers, e-mail)
- Attending at least one introductory course in statistics during undergraduate studies.
Scientific Responsible
Program Tutors
Mode And Frequency Of Communication
Communication between trainers and trainees is purely asynchronous, via e-mails and/or personal messages through the training platform.
Cost
ELEARNING: 350€
Installements
The total amount of tuition is €350 and is paid in two installments. The first installment, of €160, is paid as an advance before the start of the courses, to secure the place, and the second, of €190, is paid before the program is half completed. In the event of a discount, the above amounts are reduced proportionally. Especially in the case of a 20% discount, the above amounts are set at €280 (total amount), €160 (first installment - ??advance payment) and €120 (second installment). Trainees are informed of exact deadlines and installment amounts upon acceptance into the program via email.
Trainees are informed of the installment amounts and related deadlines via email upon their acceptance into the program.
CONTACT
46, Kefallinias Str., 11251, Athens
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dummy kedivim-opa@aueb.gr
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dummy+30 210 8203 912
For the in Class programs:
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dummydz@aueb.gr
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dummy+30 210 8203 916, 912, 914
For the eLearning Programs:
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dummyelearning@diaviou.aueb.gr
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dummy+30 210 8203 753
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