| Course Title | Code | Language | Type | Semester | L+U Hour | Credits | ECTS |
|---|---|---|---|---|---|---|---|
| Advanced Biostatistics | SKY630 | Turkish | Compulsory | 3 + 0 | 3.0 | 10.0 |
| Prerequisite Courses | |
| Course Level | Graduate |
| Mode of delivery | Theoretical and Presentation |
| Course Coordinator | Prof. Dr. Yalçın KARAGÖZ |
| Instructor(s) | |
| 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 |
| # | Öğrenme Kazanımı |
| 1 | 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) | Practice, Research, Interview |
| 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) | Research, Interview, Practice |
| 3. Week | Analysis of Variance (One-Way ANOVA, Two-Way ANOVA, One-Way MANOVA, Two-Way MANOVA) | Research, Practice, Interview |
| 4. Week | Regression and Correlation Analysis | Interview, Research, Practice |
| 5. Week | Analysis of Covariance (ANCOVA), Canonical Correlation Analysis, Explanatory Factor Analysis | Research, Interview, Practice |
| 6. Week | Structural Equation Modeling (Confirmatory Factor Analysis, Path Analysis) | Practice, Interview, 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) | Interview, Research, Practice |
| 9. Week | Non-parametric Analysis of More than Two Independent Samples (Kruskal Wallis One-Way Analysis of Variance) | Interview, Research, Practice |
| 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) | Interview, Research, Practice |
| 11. Week | Chi-Square, Nominal Association Measures with Chi-Square Origin in Cross Tables | Research, Interview, Practice |
| 12. Week | Nominal Correlation Coefficients Based on Reducing Forecast Error, Ordinal Scale Correlation Coefficients | Research, Interview, Practice |
| 13. Week | Eta Coefficient, Kappa, Risk and McNemar, Chochran's and Mantel-Haenszel Statistics | Interview, Practice, Research |
| 14. Week | Logistic Regression (Logit Models) Analysis, Clustering Analysis | Practice, Interview, Research |
| No | Program Requirements | Level of Contribution | |||||
|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |||
| 3 | Ability to conduct economic and financial analysis of healthcare services | ✔ | |||||
| 6 | Ability to assess and enhance health outcomes | ✔ | |||||
| 7 | Proficiency in using statistical analysis, reporting, interpretation, and decision-making | ✔ | |||||
| Program Requirements | DK1 |
|---|---|
| PY3 | 3 |
| PY6 | 3 |
| PY7 | 3 |
| Ders Kitabı veya Notu | Ders Kitabı veya Ders Notu bulunmamaktadır. |
|---|---|
| Diğer Kaynaklar |
|
| ECTS credits and course workload | Quantity | Duration (Hour) | Total Workload (Hour) | |
|---|---|---|---|---|
|
Sınavlar |
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 | |||
| *AKTS = (Total Workload) / 25,5 | ECTS Credit of the Course | 10.0 | ||
