Biostatistics I
| Title | Ιατρική Στατιστική Ι / Biostatistics I |
| Code | ΜΙΦΑ0020 |
| Faculty | Health Sciences |
| School | Medicine |
| Cycle / Level | 2nd / Postgraduate |
| Teaching Period | Winter |
| Coordinator | Dimitrios Kouvelas |
| Common | No |
| Status | Active |
| Course ID | 600015220 |
Programme of Study: PPS Clinical and Industrial Pharmacology - Clinical Toxicology
Registered students: 52
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| Core | Core Courses | 1 | 1 | 4 |
| Academic Year | 2024 – 2025 |
| Class Period | Winter |
| Faculty Instructors |
|
| Instructors from Other Categories |
|
| Weekly Hours | 3 |
| Class ID | 600261353
|
Course Type 2021
Specific Foundation
Course Type 2011-2015
General Foundation
Mode of Delivery
- Face to face
- Distance learning
Digital Course Content
- e-Study Guide https://qa.auth.gr/en/class/1/600261353
- eLearning (Moodle): https://elearning.auth.gr/course/view.php?id=11173
Language of Instruction
- Greek (Instruction, Examination)
Learning Outcomes
Upon completion of the course, postgraduate students will know:
Prepare and check a dataset
Perform the appropriate statistical analysis
Interpretation and assessment of the results
Selection and calculation of the appropriate sample size
General Competences
- Apply knowledge in practice
- Retrieve, analyse and synthesise data and information, with the use of necessary technologies
- Adapt to new situations
- Make decisions
- Work in an interdisciplinary team
- Design and manage projects
- Be critical and self-critical
Course Content (Syllabus)
1. Introduction to statistics
2. Populations and samples
3. Manage a database
4. Descriptive statistical measures and normality testing
5. Comparison of quantitative variables between 2 or more samples
6. Relationship between two quantitative variables
7. Multivariate linear dependence
8. Relationship between qualitative variables
9. Logarithmic dependence
10. Survival analysis
11. Sample size calculation
12. Final evaluation
Keywords
Medical Statistics, Hypothesis Testing, P Value, Statistical Significance, Statistical Tests, Linear Dependence, Normality Test, Meta-Analysis, Sample Size, Logarithmic Dependence
Educational Material Types
- Notes
- Slide presentations
- Multimedia
Use of Information and Communication Technologies
Use of ICT
- Use of ICT in Course Teaching
- Use of ICT in Laboratory Teaching
- Use of ICT in Communication with Students
- Use of ICT in Student Assessment
Description
Distance learning, e-quiz, e-learning
Course Organization
| Activities | Workload | ECTS | Individual | Teamwork | Erasmus |
|---|---|---|---|---|---|
| Lectures | 26 | 0.9 | ✓ | ||
| Written assigments | 46 | 1.5 | ✓ | ||
| Exams | 48 | 1.6 | ✓ | ||
| Total | 120 | 4 |
Student Assessment
Description
Statistical analysis and evaluation of database processing
Multiple choice questions
Final evaluation
Student Assessment methods
- Written Exam with Multiple Choice Questions (Formative, Summative)
- Written Exam with Problem Solving (Formative, Summative)
Bibliography
Course Bibliography (Eudoxus)
Αρβανιτίδου-Βαγιωνά Μ, Χάιδιτς Α-Μ. Ιατρική Στατιστική: Βασικές αρχές. Εκδόσεις University Studio Press 2013.
Additional bibliography for study
Peat J, Barton B.Medical statistics: a guide to data analysis and critical appraisal. Blackwell Publishing Ltd 2005
Last Update
19-12-2023
