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  • Clinical Trials Design and Analysis via R

Clinical Trials Design and Analysis via R

Short Overview
The program aims to provide an introduction to the design of clinical trials and their analysis using the R language. The design will encompass types of measurements, types of designs for clinical studies, sample size determination using R, randomization procedures with R, determination of power, and interim analyses. The analysis includes specifying the population for analysis, charts, basic analyses, but also an introduction to more complex ones such as survival analysis, multiple regression, and logistic regression, as well as an introduction to concepts like subgroup analysis and interaction.
Learning Goals
By following the program, participants should be able to distinguish the basic designs of a clinical trial, determine the appropriate sample size, implement different randomization schemes, and conduct the analysis of a clinical trial.
  • Introduction to the R language: The goal is to introduce the tools of the R language that will be useful for understanding the subsequent lessons.
  • Designs of clinical trials: The objective is to learn the structure of a clinical trial and understand different designs that can achieve research questions. A specific goal is to achieve randomization of a trial using the R language.
  • Introduction to power and sample size: The goal is for participants to be able to propose the appropriate sample size for not particularly complex clinical trials.
  • Analysis of clinical trial data: Upon completion of the course, participants should be able to perform simple analyses on a wide range of clinical trials based on the types of endpoints.
Program Value
By attending the program, participants should be able to distinguish the basic designs of a clinical trial, determine the appropriate sample size, implement simple randomization, and conduct a basic analysis of a clinical trial.
Teaching Material
  • Slides
  • Notes
  • Bibliography
  • Exercises (applications of data analysis under different types of clinical trials)
  • Assignments
Evaluation Method And Final Grade Computation
There will be an assignment at the end of the program (100% of the final grade). 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
Application deadline: 15/05/2024
Program start: 22/05/2024
Program completion: 27/08/2024
Way to follow
Other important information
To participate in the program, trainees must have access to the R language.
ECTS units: 2
Hours of asynchronous training: 50
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.
Total hours: 60
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.
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.
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 science schools.
  • Graduates of medical schools or more broadly, health-related schools, or healthcare professionals.
  • Executives in healthcare enterprises who are interested in enhancing their knowledge and skills in the design and analysis of data derived from clinical trials.
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 takes place through electronic discussion areas of the e-learning platform, through e-mail and through teleconferencing (half-hour meetings every week through teams).
The total amount of tuition is €400 and is paid in two installments. The first installment, of €180, is paid as an advance payment before the start of the courses, to secure the place, and the second, of €220, 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 €320 (total amount), €180 (first installment – ??advance payment) and €140 (second installment).
Trainees are informed of the installment amounts and related deadlines via email upon their acceptance into the program.


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For the in Class programs:

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For the eLearning Programs:

  • dummysecretary@elearning.aueb.gr

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