Statistics and items of Mathematics
| Title | Στατιστική και στοιχεία Μαθηματικών / Statistics and items of Mathematics |
| Code | ΜΙΦΑ0002 |
| Faculty | Health Sciences |
| School | Medicine |
| Cycle / Level | 2nd / Postgraduate |
| Teaching Period | Winter |
| Coordinator | Anna-Bettina Haidich |
| Common | No |
| Status | Inactive |
| Course ID | 600000095 |
Programme of Study: PPS Clinical and Industrial Pharmacology - Clinical Toxicology
Registered students: 0
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|
| Academic Year | 2017 – 2018 |
| Class Period | Winter |
| Faculty Instructors |
|
| Instructors from Other Categories |
|
| Weekly Hours | 2 |
| Class ID | 600109772
|
Digital Course Content
- e-Study Guide https://qa.auth.gr/en/class/1/600109772
Language of Instruction
- Greek (Instruction, Examination)
Learning Outcomes
Orqanizing and data management of a database
Performing the appropriate statistical analysis
Interpretation and assessment of the results
Selection and calculation of the required sample size
General Competences
- Retrieve, analyse and synthesise data and information, with the use of necessary technologies
- 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. Data management of a database
4. Descriptive statistics and test of normality
5. Comparison of two or more samples for quantitative variables
6. Correlation between two quabtitative variables
7. Multivariable linear regression
8. Association between qualitative variables
9. Logistic regression
10. Survival analysis
11. Sample size calculation
12. Meta-analysis
13. Final examination
Keywords
Medical statistics, hypothesis testing, P-value, statistical significance, statistical tests, linear regression, normality test, meta-analysis, sample size, logistic regression
Educational Material Types
- Notes
- Slide presentations
- Multimedia
- SPSS
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
Course Organization
| Activities | Workload | ECTS | Individual | Teamwork | Erasmus |
|---|---|---|---|---|---|
| Lectures | 78 | 2.6 | ✓ | ||
| Written assigments | 72 | 2.4 | ✓ | ||
| Total | 150 | 5 |
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
03-06-2016
