Biostatistics

Description

1. Introduction to Biostatistics
2. Purpose of Biostatistics
3. Terminology and basic concepts
4. Collection and Presentation of Data
5. Frequency tables
6. Graphical methods
7. Descriptive measures
8. Main Probability Distributions
9. Review of main distributions
10. Normal distribution
11. Goodness-of-fit tests
12. Introduction to Inferential Statistics
13. Statistical inference
14. Confidence intervals
15. Hypothesis testing
16. Review of parametric tests
17. Review of nonparametric tests
18. Contingency Tables
19. The Chi-Square Independence Test
20. Linear trend test
21. Fisher’s exact test
22. Odds ratio
23. Relative risk
24. Measures of association
25. McNemar test
26. Mantel-Haenszel test
27. Measures of agreement between two or more raters
28. Evaluation of Diagnostic Tests
29. Sensitivity
30. Specificity
31. Prevalence
32. Predictive value of diagnostic tests
33. Correlation of Quantitative Variables
34. Pearson’s correlation coefficient
35. Spearman’s correlation coefficient
36. Linear Regression
37. Simple linear regression model
38. Multiple linear regression model
39. Logistic Regression
40. Simple logistic regression model
41. Multiple logistic regression model
42. Introduction to Survival Analysis
43. Basic concepts
44. Full and censored lifetimes
45. Survival tables
46. Kaplan-Meier estimator
47. Introduction to Clinical Trials
48. Phases of clinical trials
49. Ethical issues
50. Statistical issues

During the lessons, exemplary exercises will be solved for a better understanding of the course material. Also, the use of statistical packages to deal with practical data analysis problems will be demonstrated.

• The purpose of the Biostatistics course is to acquaint students with the application of the concepts and methods of Statistical Science for the analysis and presentation of data from the health sciences.

  After successful completion of the course, students will be able to

  • recognize the importance of using statistical methods in the health sciences,
  • distinguish problems and choose the most appropriate statistical method for solving them,
  • examine data from the health sciences and produce results and new knowledge,
  • design and develop programs to solve problems they are going to face in their work,
  • manage and evaluate information proposing solutions and making critical decisions under conditions of uncertainty,
  • communicate with other scientists, follow international developments in the health sciences and
  • compare evidence and read relevant literature with critical thinking.

• Bersimis, S. and Sachlas, A. (2024). Biostatistics, TZIOLAS & SONS PUBLICATIONS SA, ISBN: 9786182211120, Book Code in Eudoxos: 133030768.
• Stavrinos, B. and Panagiotakos, D. (2007). Biostatistics, G. DARDANOS – K. DARDANOS and SIA EE, ISBN: 9600111219, Book Code in Evdoxos: 31148

On the website of the course (https://eclass.uth.gr/courses/DIB_U_125/), the slides of the course presentations and all other material required for the best preparation of the students are posted.