Teaching period

6th semester

 

Learning outcomes

  • Comprehension of the basic methods of statistical analysis,
  • Comprehension of the design of a research and data analysis,
  • Skills development in statistical analysis with computers.

 

Teaching method

  • Classic theoretical presentations,
  • Project presentations by the students,
  • Discussions with student groups assigned with an issue briefing.

 

Week by week schedule

Biostatistics is summarised in 30 teaching hours, organised in 15 2-hour sessions, in which student attendance is essential.

 

Week Unit

1

Introduction, Basic Concepts, Field of Statistics

2

Types of Research and Data

3

Probability Theory

4

Design and Protocols of Research

5

Types of Statistical Methodology in the Field of Health

6

Sample Research

7

Economy of Health and Statistical Inference

8

Descriptive Statistics, Use of PCs in Statistical Analysis

9

Basic Parameters and Distributions

10

Deductive Statistics

11

Analysis of Variation, Association, Association Factor

12

Statistical Tests, Statistical Analysis Software (SPSS 15.0, Statistica, Sigma Stat etc)

13

T-Student Test

14

X-Square Test

15

Examples - Applications of Statistics on Physiotherapy Studies

 

Textbooks/reference material

In English

  1. Rosner B. (2006).Fundamentals of Biostatistics/Book and Disk
  2. Kirkwood B., Sterne J. (2007). Essentials of Medical Statistics Douglas Altman (Editor) (2003) Statistics with Confidence: Confidence Intervals and Statistical Guidelines (Book with Diskette for Windows 95, 98, NT)
  3. Jacobas A.D. (1997). Medical Biostatistics. Bucura Mond Eds, Bucharest.
  4. Nieto JF (2007). Epidemiology: Beyond the Basics M. Szklo, Eds
  5. Peat J, Barton B., Elliott E. (2005). Statistics Workbook for Evidence-based Health Care, Szklo, Eds

 

In Greek

  1. Αλιβιζάτος Γ. (1953). Στατιστική Μεθοδολογία. Εκδόσεις Σπυρόπουλου Σ., Αθήνα. (Statistical Methodology)
  2. Βαγενάς Γ (2002). Στατιστικές Εφαρμογές στην Φ.Α.. Αθήνα (Statistical Applications in Physiotherapy)
  3. Κουτσογιάννης Κ., Noelle – Λαζαρίδου Μ., Λαζαρίδης Α. (2003). Εφαρμοσμένη στατιστική στις επιστήμες υγείας – πρόνοιας. Έκδοση Έλλην, Αθήνα. (Applied Statistics in Health - Providence Sciences)
  4. Νικηφορίδης Γ. (1984). Βασικές αρχές και μέθοδοι Βιοστατιστικής. Εκδόσεις Παν/μίου Πατρών, Πάτρα (Basic Principles and Methods in Biostatistics)
  5. Παπαϊωάννου Τ. (1981). Εισαγωγή στις πιθανότητες και τη στατιστική. Εκδόσεις Παν/μίου Ιωαννίνων, Ιωάννινα (Introduction to Possibilities and Statistics)
  6. Παπαϊωάννου Τ., Φερεντίνος Κ. (1985). Βιομαθηματικά. Ιατρικές Εκδόσεις Λίτσας, Ιωάννινα (Biomathematics)
  7. Τριχόπουλος Δ. (1975). Ιατρική στατιστική. Επιστημονικές εκδόσεις Παρισιάνος. Αθήνα (Medical Statistics)

 

Assessment

Assessment of Biostatistics takes place in the end of the semester and has 2 examination periods. In case somebody fails in the 1st exam, they may take the 2nd. If they fail twice, they have to attend the module/subject again. The examination students take is consisted of open and closed type questions. Students have to achieve a result 5 out of 10 or higher to consider the subject passed. The examination’s duration is 2 hours. After passing the subject, the students are awarded with 3 ECTS credits.



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