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- Analysis of Clinical Trials using SPSS
Analysis of Clinical Trials using SPSS
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Short Overview
The program emphasizes the application of data analysis methods in randomized and non-randomized clinical trials. Introductory concepts of applied statistics, hypothesis testing, simple parametric and non-parametric techniques, multifactorial methods for the analysis of continuous data, and logistic regression will be taught. Special emphasis will be placed on the use of random effects models in the analysis of clinical trials.
Learning Goals
By the end of the program, participants should be able to perform at least basic data analysis from randomized or non-randomized clinical trials and draw conclusions from it.
- Goal "Introduction to Applied Statistics": Understanding concepts of applied statistics, the mechanism of hypothesis testing, and introducing the use of the SPSS statistical package.
- Goal "Hypothesis Testing Using the SPSS Package": Participants should be able to test for equality of value distributions in large or small clinical trials using the SPSS statistical package. They should also be able to determine the appropriate sample size for a trial.
- Goal "Multifactorial Analysis Models Using SPSS": Participants should be able to adjust a model for continuous data with one or more factors, select an optimal model, and interpret the results.
- Goal "Repeated Measures Analysis Using SPSS": Participants should be able to analyze their data in the presence of missing values, perform data analysis, and interpret the results when the data from a clinical trial is in the form of success-failure, such as in the case of adverse events during a trial. Finally, they should be able to conduct an analysis using mixed-effects models and interpret the results of data from a clinical trial that consists of at least two visits and measures a continuous variable, whether randomized or not.
Evaluation Method And Final Grade Computation
The evaluation is based on the preparation of exercises (every week) and a final assignment for each lesson, with real data, where the learner's knowledge will be evaluated. 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: 13
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, This email address is being protected from spambots. You need JavaScript enabled to view it., , 210 8203753
Center Technical Support, This email address is being protected from spambots. You need JavaScript enabled to view it., , 210 8203754
Target Audience
- Graduates of medical schools or, more generally, health-related disciplines.
- Healthcare professionals.
- Executives in healthcare enterprises interested in enhancing their knowledge and skills in data analysis derived from clinical trials.
- Graduates of natural sciences schools interested in engaging in the subject.
Prerequisite Knowledge
- Basic computer skills (word processing, worksheets, browsers, e-mail)
- Attendance of at least one introductory course in statistics during undergraduate studies or at least two years of professional experience in a related clinical trial monitoring, management or analysis subject.
Scientific Responsible
Program Tutors
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 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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