Biostatistics

Course Information
TitleΒιστατιστική Ι / Biostatistics
CodeS107
FacultyHealth Sciences
SchoolDentistry
Cycle / Level2nd / Postgraduate
Teaching PeriodWinter/Spring
CoordinatorVasileios Karagiannis
CommonYes
StatusActive
Course ID600020947

Programme of Study: PMS Periodontología kai Viología Emfyteumátōn (2024-sīmera)

Registered students: 4
OrientationAttendance TypeSemesterYearECTS
PERIODONTOLOGIA KAI VIOLOGIA EMFYTEUMATŌNCompulsory Course112
Class Information
Academic Year2025 – 2026
Class PeriodWinter
Instructors from Other Categories
Class ID
600287430
Course Type 2021
Specific Foundation
Mode of Delivery
  • Face to face
Digital Course Content
Language of Instruction
  • Greek (Instruction, Examination)
  • English (Instruction, Examination)
Prerequisites
General Prerequisites
Ν/Α
Learning Outcomes
To acquire knowledge in basic and advanced statistical methodologies used in dental research.
General Competences
  • Retrieve, analyse and synthesise data and information, with the use of necessary technologies
  • Make decisions
  • Work autonomously
  • Be critical and self-critical
  • Advance free, creative and causative thinking
Course Content (Syllabus)
Evidence- based dentistry. Research hypothesis and Study Design. Variables and Missing Data. Sampling, Randomization, Blinding Experimental (Clinical trials) and Observational studies in dental research (CONSORT 2010 , STROBE 2007). An introduction to the IBM SPSS Statistics software. The Data and Variables View pages, the Output, the Syntax, using the Compute, Select, Recode and Weight functions. The R Commander (Fox). Descriptive Statistics. An introduction to Probability. Random Variables and Distributions. The Normal Distribution. Sampling Distributions. The Law of The Large Numbers and the Central Limit Theorem. Confidence Intervals, Hypothesis Testing, Type I and II errors, the Power of the Study. P-value, Statistical and Clinical Significance. How to read a paper. Normality Tests and the Logarithmic Transformation. The t-test for One and Two Independent Samples and the Non- Parametric Mann Whitney U Test. The t-test for Related Samples and the non-parametric Wilcoxon test. Review Exercises. One-way Analysis of Variance. Welsh and Brown-Forsythe Robust Analysis of Variance. The Kruskal Wallis Non-Parametric ANOVA. Pair Wise Comparisons and the Bonferroni adjustment for the Type I Error. Nominal Data, Cross-Sectional Studies. The Binomial Test, the Chi-Square Test, the Fisher’s Exact Test. Calculation of the p-value using the Monte Carlo Method.. Nominal Data on Related Groups. The McNemar Test, the Marginal Homogeneity Test (Stuart-Maxwell) and the Cochran’s Q Test. Review Exercises. Statistical Analysis of Observational Studies (Cohort, Case-Control Studies). The Relative Risk (RR) and the Odds Ratios (OR). Screening tests. Association, Agreement and Reliability. Pearson’s Correlation Coefficient, Spearman's Rank- Order Correlation Coefficient, Cohen's kappa, Intraclass Correlation Coefficient Simple and Multiple Linear Regression. Logistic Regression Statistical Analysis of Repeated Measurements and Longitudinal Studies. The Friedman test. Two-Way Analysis of Variance. An Introduction to the Mixed Linear Models. Review – Exercises
Keywords
Biostatistics, Data analysis
Educational Material Types
  • Notes
  • Slide presentations
  • Book
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
Description
As above
Course Organization
ActivitiesWorkloadECTSIndividualTeamworkErasmus
Seminars26
Tutorial26
Total52
Student Assessment
Description
Performance during the seminars and at the final exam
Student Assessment methods
  • Written Exam with Multiple Choice Questions (Summative)
  • Written Exam with Short Answer Questions (Summative)
  • Written Exam with Problem Solving (Summative)
Bibliography
Additional bibliography for study
Reading material that is distributed in the form of notes  1991_Practical statistics for medical research. Douglas G. Altman.  2014_Medical Statistics- A Guide to SPSS, Data Analysis and Critical Appraisal. Peat Barton.  2017_Dental statistics made easy. Smeeton.  2018_Medical biostatistics. Indrayan, Malhotra.  2018_Principles of Biostatistics. Pagano, Gauvreau.  2000_Statistics with Confidence- Confidence Intervals and Statistical Guidelines. Altman_et al.  2008_How to Display Data. Freeman et al.  2014_How to Read a Paper- The Basics of Evidence-Based Medicine. Greenhalgh.  2003_How to write a paper. Hall.  2017_Using the R Commander. John Fox, Chapman & Hall/CRC Press
Last Update
10-01-2024