Biostatistics I

Course Information
TitleΙατρική Στατιστική Ι / Biostatistics I
FacultyHealth Sciences
Cycle / Level2nd / Postgraduate
Teaching PeriodWinter
CoordinatorDimitrios Kouvelas
Course ID600015220

Programme of Study: PPS Clinical and Industrial Pharmacology - Clinical Toxicology

Registered students: 38
OrientationAttendance TypeSemesterYearECTS
CoreCore Courses114

Class Information
Academic Year2022 – 2023
Class PeriodWinter
Faculty Instructors
Instructors from Other Categories
Weekly Hours2
Class ID
Course Type 2021
Specific Foundation
Course Type 2011-2015
General Foundation
Mode of Delivery
  • Face to face
  • Distance learning
Language of Instruction
  • Greek (Instruction, Examination)
Learning Outcomes
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
  • 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
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
Distance learning, e-quiz, e-learning
Course Organization
Written assigments461.5
Student Assessment
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)
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
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