Medical Informatics - Βiostatistics
| Title | Ιατρική Πληροφορική (Medical Informatics)-Βιοστατιστική (Βiostatistics) / Medical Informatics - Βiostatistics |
| Code | ΜΙΚΧΝΒ09 |
| Faculty | Health Sciences |
| School | Medicine |
| Cycle / Level | 2nd / Postgraduate |
| Teaching Period | Winter/Spring |
| Coordinator | Polychronis Antonitsis |
| Common | No |
| Status | Active |
| Course ID | 600022339 |
Programme of Study: PMS Proīgménes Kardiopneumonikés Efarmogés-Technikés Exōsōmatikīs Kykloforías (2022-sīmera)
Registered students: 17
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| KORMOS | Compulsory Course | 2 | 1 | 4 |
| Academic Year | 2023 – 2024 |
| Class Period | Spring |
| Faculty Instructors | |
| Weekly Hours | 3 |
| Total Hours | 39 |
| Class ID | 600247288
|
Type Of Offer
- Innovation Course
Course Type 2021
Skills Development
Course Type 2016-2020
- Scientific Area
Digital Course Content
- e-Study Guide https://qa.auth.gr/en/class/1/600247288
Language of Instruction
- Greek (Instruction, Examination)
Learning Outcomes
Knowledge
Upon successfully completing this course, students will be familiar with:
• The main differences between the types of studies of comparing populations
• The appropriate summary measure of variables for quantitative and qualitative data
• The difference between a sample and the population from which it came
• The characteristics of the normal distribution and the difference from the asymmetric distribution
• The sampling distribution and the concept of standard error of the mean
• The methodology of hypothesis testing, the concepts of p value, the level of significance and confidence interval, the types of I and II errors
• The basic parametric and non-parametric tests through real examples in the health and life sciences
• In which data can be applied the survival analysis and how to conduct such an analysis
Capacities
The course participants upon completion will be able to:
• Understand and compute the descriptive statistical measures that appear in the medical scientific articles
• Formulate and interpret graphs appropriately
• Calculate association measures such as mean differences, risk differences, relative risks, odds ratios and incidence rate ratios related reason and impact-rates
• Calculate the appropriate sample size of a survey
General Competences
- Apply knowledge in practice
- Retrieve, analyse and synthesise data and information, with the use of necessary technologies
- Make decisions
- Work autonomously
- Work in teams
Course Content (Syllabus)
- Biostatistics (SPSS)
- Sample size calculation
- Literature search
- Publication ethics
- Oral and poster presentation
- Design of a research protocol
- How to write a peper
Keywords
statistics
Educational Material Types
- Notes
- Slide presentations
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
Informatics technology is used for teaching purposes. All presentations have the form of power point presentations.
For communication purposes, e-mail and online real-time communication platforms, such as Zoom and Microsoft Teams are frequently used.
Course Organization
| Activities | Workload | ECTS | Individual | Teamwork | Erasmus |
|---|---|---|---|---|---|
| Lectures | 25 | ||||
| Laboratory Work | 40 | ||||
| Reading Assigment | 20 | ||||
| Internship | 20 | ||||
| Exams | 2 | ||||
| Study | 20 | ||||
| Total | 127 |
Student Assessment
Description
Midterm and final exams with multiple choice questions
Student Assessment methods
- Written Exam with Multiple Choice Questions (Formative, Summative)
- Written Exam with Problem Solving (Formative, Summative)
Bibliography
Additional bibliography for study
Bougioukas, KI & Haidich, A-B. (2019). Medical Biostatistics: Basic Concepts. In V. Papademetriou, E. A. Andreadis & C. Geladari (Eds.), Management of hypertension: Current practice and the application of landmark trials (pp. 19–53). Springer 2019. doi:10.1007/978-3-319-92946-0_2
2. Aho, Ken A. Foundational and applied statistics for biologists using R. CRC Press, 2013.
3. Bland, Martin. An introduction to medical statistics. 3rd Edition. Oxford University Press, 2000.
4. Crawley, Michael J. Statistics: an introduction using R, 2nd Edition. John Wiley & Sons, 2014.
5. MacFarland, Thomas W. Introduction to Data Analysis and Graphical Presentation in Biostatistics with R. Springer, 2014.
6. Daniel, Wayne W., and Chad L. Cross. Biostatistics: A Foundation for Analysis in the Health Sciences: A Foundation for Analysis in the Health Sciences. Wiley Global Education, 2012.
7. Logan M. Biostatistical Design and Analysis Using R: A Practical Guide. Wiley-Blackwell, 2010.
8. Shahbaba, B. (2011). Biostatistics with R: An Introduction to Statistics Through Biological Data (Use R!) (2012th ed.). Springer.
9. Bowers, D. (2019). Medical Statistics from Scratch: An Introduction for Health Professionals (4th ed.). Wiley.
Last Update
22-01-2024
