| Course Title | Code | Semester | L+U Hour | Credits | ECTS |
|---|---|---|---|---|---|
| Advanced Biostatistics | SKY630 | 3 + 0 | 3.0 | 10.0 |
| Prerequisite Courses | None |
| Language of Instruction | Turkish |
| Course Level | Graduate |
| Course Type | |
| Mode of delivery | Theoretical and Presentation |
| Course Coordinator |
Prof. Dr. Yalçın KARAGÖZ |
| Instructor(s) | |
| Assistants | |
| Goals | Purpose of this Lesson; Basic Concepts, Z Test and T Test, Analysis of Variance, Regression and Correlation Analysis, Analysis of Covariance (ANCOVA), Canonical Correlation Analysis, Explanatory Factor Analysis, Structural Equation Modeling, Statistical Methods Specific to the Health Field, Meta Analysis, Non-Parametric Analyzes Single Sample, Two Independent Samples, More than Two Independent Samples, Correlated (Conjugate-Pair) Two Samples, More than Two Correlated Ability to Make and Interpret Analyzes Related to Examples), Chi-Square, Relationship Coefficients, Logistic Regression Analysis, Clustering Analysis |
| Course Content | Basic Concepts, Basic Concepts, Z Test and T Test, Analysis of Variance, Regression and Correlation Analysis, Analysis of Covariance (ANCOVA), Canonical Correlation Analysis, Explanatory Factor Analysis, Structural Equation Modeling, Statistical Methods Specific to the Field of Health, Meta Analysis, Non-parametric Analyzes One Sample, Two Independent Samples, More than Two Independent Samples, Two Samples Related (Conjugate-Pair), More than Two Samples Related Samples), Chi-Square, Relationship Coefficients, Logistic Regression Analysis, Clustering Analysis Topics Will Be Explained |
| Learning Outcomes |
- Student; Basic Concepts, Basic Concepts, Z Test and T Test, Analysis of Variance, Regression and Correlation Analysis, Analysis of Covariance (ANCOVA), Canonical Correlation Analysis, Explanatory Factor Analysis, Structural Equation Modeling, Statistical Methods Specific to the Field of Health, Meta Analysis, Non-parametric Analyzes One Sample, Two Independent Samples, More than Two Independent Samples, Two Samples Related (Conjugate-Pair), More than Two Samples Will be able to perform and interpret analyzes on topics such as Related Samples), Chi-Square, Relationship Coefficients, Logistic Regression Analysis, Clustering Analysis. |
| Week | Topics/Applications | Method |
|---|---|---|
| 1. Week | Basic Concepts (Variable and its types, scale levels, establishing hypotheses, significance level, power of the test, selection of appropriate statistical techniques) | Research Verbal Expression Practice |
| 2. Week | Z Test and T test (Test of the difference of a population average from a certain value, test of the difference between two population averages) | Verbal Expression Practice Research |
| 3. Week | Analysis of Variance (One-Way ANOVA, Two-Way ANOVA, One-Way MANOVA, Two-Way MANOVA) | Verbal Expression Practice Research |
| 4. Week | Regression and Correlation Analysis | Practice Research Verbal Expression |
| 5. Week | Analysis of Covariance (ANCOVA), Canonical Correlation Analysis, Explanatory Factor Analysis | Research Verbal Expression Practice |
| 6. Week | Structural Equation Modeling (Confirmatory Factor Analysis, Path Analysis) | Practice Verbal Expression Research |
| 7. Week | Statistical Methods Specific to the Field of Health, Meta Analysis | Research Practice |
| 8. Week | Analysis of Non-Parametric One-Sample Data (Chi Square Test, Sign Test, Wilcoxon Signed Rank Test), Non-Parametric Analysis of Two Independent Samples (Mann-Whitney U Test) | Research Verbal Expression Practice |
| 9. Week | Non-parametric Analysis of More than Two Independent Samples (Kruskal Wallis One-Way Analysis of Variance) | Research Practice Verbal Expression |
| 10. Week | Analysis of Two Non-Parametric Related (Conjugate-Pair) Samples (Wilcoxon Conjugate-Pair Test), Analysis of Non-Parametric More Than Two Related Samples (Friedman Test) | Research Verbal Expression Practice |
| 11. Week | Chi-Square, Nominal Association Measures with Chi-Square Origin in Cross Tables | Practice Research Verbal Expression |
| 12. Week | Nominal Correlation Coefficients Based on Reducing Forecast Error, Ordinal Scale Correlation Coefficients | Research Verbal Expression Practice |
| 13. Week | Eta Coefficient, Kappa, Risk and McNemar, Chochran's and Mantel-Haenszel Statistics | Verbal Expression Practice Research |
| 14. Week | Logistic Regression (Logit Models) Analysis, Clustering Analysis | Practice Research Verbal Expression |
| Biostatistics (2019)., Sümbüloğlu, Kadir, Sümbüloğlu Vildan, Hatiboğlu Publishing House, Number of editions: 20, Number of pages 302, ISBN: 9789757527121 |
| SPSS AMOS META Applied Biostatistics (2021)., Karagöz Yalçın, Nobel Academic Publishing, Number of Editions: 3, Number of Pages 1296, ISBN: 978-625-439-583-3 |
| SPSS AMOS META Applied Statistical Analysis (2019), Karagöz Yalçın, Nobel Academic Publishing, Number of editions: 3, Number of Pages 1336, ISBN: 978-605-320-547-0 |
| Program Requirements | Contribution Level | DK1 | Measurement Method |
|---|---|---|---|
| PY3 | 3 | 3 | - |
| PY6 | 3 | 3 | - |
| PY7 | 3 | 3 | - |
| 0 | 1 | 2 | 3 | 4 | 5 | |
|---|---|---|---|---|---|---|
| Course's Level of contribution | None | Very Low | Low | Fair | High | Very High |
| Method of assessment/evaluation | Written exam | Oral Exams | Assignment/Project | Laboratory work | Presentation/Seminar |
| Event | Quantity | Duration (Hour) | Total Workload (Hour) |
|---|---|---|---|
| Midterm 1 | 1 | 40 | 40 |
| Homework 1 | 1 | 40 | 40 |
| Homework 2 | 1 | 40 | 40 |
| Final | 1 | 40 | 40 |
| Classroom Activities | 5 | 19 | 95 |
| Total Workload | 255 | ||
| ECTS Credit of the Course | 10.0 | ||
